Pinecone jobs

Staff Technical Writer US Remote, USA About Pinecone Pinecone is the knowledge infrastructure for AI at scale. Its leading vector database and knowledge engine, Pinecone Nexus, power accurate, performant AI applications for more than 9,000 customers and 800,000 developers worldwide. Pinecone's mission is to make AI knowledgeable. Pinecone is based in New York and raised $138M in funding from Andreessen Horowitz, ICONIQ, Menlo Ventures, and Wing Venture Capital. About the team/role: As a technical writer at Pinecone, you will apply your technical and writing skills to help engineers discover, explore, and build with vector databases - the next generation of search infrastructure. Documentation contributes significantly to our developers' experience of the platform, success with using it, and our success as a company, so you will make an immediate impact. You will report to the Head of Documentation and work closely with the Product, Engineering, and Marketing teams. To succeed in this role, you must have the technical background to learn cutting-edge developer and ML tools quickly. You must be passionate about writing, with a penchant for clarity, accuracy, simplicity, and organization. Our team is growing fast and the customers are growing even faster, so you must be comfortable working with a high degree of autonomy in a fast-paced environment. If this sounds exciting, we want to hear from you! Responsibilities: - Plan and write documentation for developers, ML engineers, and technical architects of all experience levels: Technical guides, API and client references, walkthroughs, and sample apps. - Contribute to the

Developer Advocate San Francisco, California, US About Pinecone Pinecone is the knowledge infrastructure for AI at scale. Its leading vector database and knowledge engine, Pinecone Nexus, power accurate, performant AI applications for more than 9,000 customers and 800,000 developers worldwide. Pinecone's mission is to make AI knowledgeable. Pinecone is based in New York and raised $138M in funding from Andreessen Horowitz, ICONIQ, Menlo Ventures, and Wing Venture Capital. About the Team and Role: We're hiring a Developer Advocate to own the Pinecone community -online and in-person-with a particular focus on building a strong SF/Bay Area presence. This role is for a senior, hands-on technical communicator who can build developer relationships at scale, run high-signal programs, and translate community needs into product feedback and compelling learning experiences. To succeed in this role, you must be able to build and teach with Pinecone's AI products-showing developers how to create reliable, scalable AI applications where knowledge and retrieval are central. You'll translate best practices into practical learning experiences through tutorials, short-form videos, docs contributions, hackathon mentorship, and social posts. Because the team and customer base are scaling quickly, you should be comfortable operating with high autonomy and strong judgment in a fast-paced environment. If you're excited about: - Learning new technologies and helping others succeed with that technology. - Playing a central role in an exciting and rapidly expanding community. - Shaping the course of a fast-growing company and product category. - Working with colleagues who value clarity, creativity, passion, initiative, and thoughtfulness.

Senior/Staff Software Engineer, Experience US Remote, USA About Pinecone Pinecone is the knowledge infrastructure for AI at scale. Its leading vector database and knowledge engine, Pinecone Nexus, power accurate, performant AI applications for more than 9,000 customers and 800,000 developers worldwide. Pinecone's mission is to make AI knowledgeable. Pinecone is based in New York and raised $138M in funding from Andreessen Horowitz, ICONIQ, Menlo Ventures, and Wing Venture Capital. About the Team and Role: The Experience team is at the center of one of the most exciting transitions in software development history - the shift from human-driven to agent-driven product experiences. We own Pinecone's API, clients, authentication, revenue, and observability systems, and right now that means redesigning all of it for a world where AI agents are first-class users alongside humans. This is a wide-scope role. You'll own things end-to-end - from backend architecture to API design to SDK and web surfaces. You'll be working closely with product, design, and other engineering teams to identify user needs and build the right thing, at the right abstraction level, at the right time. Along the way, you will be building high-leverage platform capabilities that accelerate Pinecone's product development and user growth systems. We're looking for an engineer who sees this moment for what it is: a rare opportunity to shape how developers and agents interact with a category-defining product. You're not waiting to see how the industry figures out MCP, agentic workflows, and AI-native interfaces - you're already experimenting, already forming opinions,

Senior Data Platform Engineer New York City, New York, USA About Pinecone Pinecone is the leading vector database for building accurate and performant AI applications at scale in production. Pinecone's mission is to make AI knowledgeable. More than 9000 customers across various industries have shipped AI applications faster and more confidently with Pinecone's developer-friendly technology. Pinecone is based in New York and raised $138M in funding from Andreessen Horowitz, ICONIQ, Menlo Ventures, and Wing Venture Capital. About the Role Pinecone is looking for a Senior Data Engineer to own and grow the systems that power how we understand our business. You will design and operate the ingest, transform, orchestration, and metrics layers that feed analysts, executives, and the Board, and you will lead the analyses themselves when the question matters enough. This is a high-ownership role on a small team, with direct exposure to finance, GTM, product, and the executive staff. Responsibilities - Own and build the ingestion layer. Design, deploy, and scale pipelines that pull from third-party APIs, internal services, and SaaS tools into BigQuery. Add new sources as the business demands. - Own and build the transform layer. Develop and maintain our DBT project, including staging, intermediate, and marts. Maintain core business datasets: users, organizations, indexes, accounts, usage, revenue. Write tests, snapshots, and documentation. Drive data quality and trust. - Own and build the orchestration platform. Operate the Airflow-on-Kubernetes environment that runs our ingest and DBT workloads. Improve reliability, scalability, observability, and CI/CD. - Establish and maintain the

Staff/Principal Product Manager, Database US Remote, USA About Pinecone Pinecone is the knowledge infrastructure for AI at scale. Its leading vector database and knowledge engine, Pinecone Nexus, power accurate, performant AI applications for more than 9,000 customers and 800,000 developers worldwide. Pinecone's mission is to make AI knowledgeable. Pinecone is based in New York and raised $138M in funding from Andreessen Horowitz, ICONIQ, Menlo Ventures, and Wing Venture Capital. About the Role: As a Product Manager on the database team, you will work closely with the Product and Engineering teams at Pinecone to define the next generation of vector database capabilities. You will drive the strategy and roadmap for core database capabilities to make transformative improvements to performance, scalability, efficiency, and search quality. The ideal candidate is passionate about understanding developer needs of building AI applications in a highly dynamic and evolving AI landscape. Your role is to deeply empathize with AI developers and to define database requirements that meet their needs, and to work with engineering to build and ship these capabilities. You will bring a sense of ownership, accountability, and entrepreneurship to your objective of driving database adoption. Responsibilities : - Spearhead the development of core database capabilities from concept through launch, ensuring high quality execution and alignment with the company's strategic vision. - Collaborate cross-functionally with engineering, marketing, sales, and customer success teams to ensure high quality execution, cohesive product messaging, and effective go-to-market strategies. - Collect user feedback to inform product strategy and identify new opportunities

Senior/Staff Software Engineer, Search & Retrieval Infrastructure US Remote, USA About Pinecone Pinecone is the knowledge infrastructure for AI at scale. Its leading vector database and knowledge engine, Pinecone Nexus, power accurate, performant AI applications for more than 9,000 customers and 800,000 developers worldwide. Pinecone's mission is to make AI knowledgeable. Pinecone is based in New York and raised $138M in funding from Andreessen Horowitz, ICONIQ, Menlo Ventures, and Wing Venture Capital. About the Team and Role: We are hiring a senior/staff software engineer to help design and build core components of our next-generation knowledge retrieval system built for the AI era - search and retrieval infrastructure that powers high-quality, scalable, and enterprise-grade agentic systems. You'll build the framework that allows our customers to connect knowledge-synthesized from structured and unstructured data-to modern LLM-powered applications, leveraging the world's best-in-class vector DB supporting semantic search and hybrid retrieval. This role is ideal for someone who loves backend system architecture, distributed systems, and applied AI infrastructure. It is a high impact role with significant ownership across architecture, performance, and system reliability. Responsibilities: - Design and build scalable platform components leveraging advanced retrieval via query planning, semantic and hybrid search, metadata-aware search, and LLM generation - Design and build optimized indexing pipelines for structured and unstructured data - Build backend services for semantic and hybrid retrieval, knowledge graph construction, and retrieval orchestration - Improve retrieval quality through evaluation and observability frameworks - Design APIs for internal and external user and agentic consumers - Optimize

Solutions Engineer San Francisco, California, US About Traversal Traversal is the AI Site Reliability Engineer (SRE) for the enterprise-already trusted by some of the largest companies in the world to troubleshoot, remediate, and even prevent the most complex production incidents. Our mission is to free engineers from endless firefighting and enable them to focus on creative, high-impact work. Our roots remain deeply embedded in AI research, and we're channeling that scientific rigor and creativity into building the premier AI agent lab for the enterprise. Hence, what we're proudest of is assembling the most talented yet nicest group of individuals, including researchers from MIT, Harvard, and Berkeley, to world-class engineers from industry: Citadel Securities, Cockroach Labs, Datadog, DE Shaw, ServiceNow, Glean, Perplexity, Pinecone, and more, to take on one of the hardest problems for AI to solve. Without the entire team, none of this would be possible. The Role As a Solutions Engineer at Traversal, you'll help define how we engage with prospective customers, you'll guide them from initial technical discovery through successful deployment. This is a foundational, customer-facing role at the intersection of technical depth and relationship building. You'll collaborate with product and engineering to translate customer needs into compelling, customized pilot deployments that achieve high value for customers. You'll work closely with our CEO, CTO, GTM and Product teams to help scale founder-led sales into a repeatable process. You'll act as the technical voice in conversations with prospects, create resources to support go-to-market efforts, and relay insights back to

Sr. Staff Engineer (Java Fullstack or Python, AI) Hyderabad, , India Company Description: Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments. We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com. Job Description: Design and build end-to-end full stack applications (frontend, backend, APIs, data layers) Architect scalable, resilient systems using microservices and cloud-native patterns Integrate Generative AI models (LLMs) into applications for automation, insights, and user experience Build and optimize AI-driven workflows (RAG pipelines, agents, prompt engineering) Develop applications using tools like: OpenAI / Azure OpenAI / Anthropic APIs LangChain / LlamaIndex / Semantic Kernel Implement: Retrieval-Augmented Generation (RAG) Vector databases (Pinecone, Weaviate, FAISS) Embedding pipelines and semantic search Design prompt strategies and evaluation frameworks Ensure responsible AI practices (safety, bias mitigation, monitoring) Build modern UI using: React, Next.js, Angular, or Vue

AI Researcher New York, NY, United States About Traversal Traversal is the AI Site Reliability Engineer (SRE) for the enterprise-already trusted by some of the largest companies in the world to troubleshoot, remediate, and even prevent the most complex production incidents. Our mission is to free engineers from endless firefighting and enable them to focus on creative, high-impact work. Our roots remain deeply embedded in AI research, and we're channeling that scientific rigor and creativity into building the premier AI agent lab for the enterprise. Hence, what we're proudest of is assembling the most talented yet nicest group of individuals, including researchers from MIT, Harvard, and Berkeley, to world-class engineers from industry: Citadel Securities, Cockroach Labs, Datadog, DE Shaw, ServiceNow, Glean, Perplexity, Pinecone, and more, to take on one of the hardest problems for AI to solve. Without the entire team, none of this would be possible. The Role As an AI Researcher at Traversal, you'll work on improving the accuracy and speed of our agents - systems that autonomously diagnose and resolve production incidents for some of the world's largest enterprises. This is a hands-on, production-oriented research role. You will design experiments, run them on real data, and ship improvements. Not flag them - ship them. You'll work end-to-end: identify a failure mode in agent reasoning, design an intervention, evaluate it against real customer traces, and get it into production. The tooling and infrastructure are in place. The research problem is hard. The feedback loop is fast. This is

Product Designer New York, NY, United States About Traversal Traversal is the AI Site Reliability Engineer (SRE) for the enterprise-already trusted by some of the largest companies in the world to troubleshoot, remediate, and even prevent the most complex production incidents. Our mission is to free engineers from endless firefighting and enable them to focus on creative, high-impact work. Our roots remain deeply embedded in AI research, and we're channeling that scientific rigor and creativity into building the premier AI agent lab for the enterprise. Hence, what we're proudest of is assembling the most talented yet nicest group of individuals, including researchers from MIT, Harvard, and Berkeley, to world-class engineers from industry: Citadel Securities, Cockroach Labs, Datadog, DE Shaw, ServiceNow, Glean, Perplexity, Pinecone, and more, to take on one of the hardest problems for AI to solve. Without the entire team, none of this would be possible. The Role As a Product Designer at Traversal, you'll shape how users experience-and trust-our agentic AI platform. You'll design the workflows, interfaces, and patterns that turn powerful AI systems into intuitive, high-leverage tools for engineers operating in high-pressure environments. This is a rare opportunity to join during a formative stage. Our core AI systems are maturing, our user base is expanding, and design is becoming central to how we scale. You'll drive the evolution of our design language, help formalize our rituals and operations, and play a foundational role in elevating the quality of the entire product. You will work closely with engineering,

Enterprise Account Executive - East Remote, United States About Traversal Traversal is the AI Site Reliability Engineer (SRE) for the enterprise-already trusted by some of the largest companies in the world to troubleshoot, remediate, and even prevent the most complex production incidents. Our mission is to free engineers from endless firefighting and enable them to focus on creative, high-impact work. Our roots remain deeply embedded in AI research, and we're channeling that scientific rigor and creativity into building the premier AI agent lab for the enterprise. Hence, what we're proudest of is assembling the most talented yet nicest group of individuals, including researchers from MIT, Harvard, and Berkeley, to world-class engineers from industry: Citadel Securities, Cockroach Labs, Datadog, DE Shaw, ServiceNow, Glean, Perplexity, Pinecone, and more, to take on one of the hardest problems for AI to solve. Without the entire team, none of this would be possible. The Role As an Enterprise Account Executive at Traversal, you'll lead our early-stage sales efforts and build our GTM engine from the ground up. You will own the full sales cycle, from strategic prospecting to closing, while defining the playbook for our agentic observability platform. You'll partner closely with our founders and Sales Engineering team, you will navigate complex technical evaluations and guide prospects through high-impact proof-of-concepts. We are looking for a high-ownership individual who can translate deep technical value into business outcomes for SREs, platform teams, and engineering leaders. If you have a proven track record in developer tools and thrive

Enterprise Account Executive - West Remote, United States About Traversal Traversal is the AI Site Reliability Engineer (SRE) for the enterprise-already trusted by some of the largest companies in the world to troubleshoot, remediate, and even prevent the most complex production incidents. Our mission is to free engineers from endless firefighting and enable them to focus on creative, high-impact work. Our roots remain deeply embedded in AI research, and we're channeling that scientific rigor and creativity into building the premier AI agent lab for the enterprise. Hence, what we're proudest of is assembling the most talented yet nicest group of individuals, including researchers from MIT, Harvard, and Berkeley, to world-class engineers from industry: Citadel Securities, Cockroach Labs, Datadog, DE Shaw, ServiceNow, Glean, Perplexity, Pinecone, and more, to take on one of the hardest problems for AI to solve. Without the entire team, none of this would be possible. The Role As an Enterprise Account Executive at Traversal, you'll lead our early-stage sales efforts and build our GTM engine from the ground up. You will own the full sales cycle, from strategic prospecting to closing, while defining the playbook for our agentic observability platform. You'll partner closely with our founders and Sales Engineering team, you will navigate complex technical evaluations and guide prospects through high-impact proof-of-concepts. We are looking for a high-ownership individual who can translate deep technical value into business outcomes for SREs, platform teams, and engineering leaders. If you have a proven track record in developer tools and thrive

AI Engineer - Backend New York, NY, United States About Traversal Traversal is the AI Site Reliability Engineer (SRE) for the enterprise-already trusted by some of the largest companies in the world to troubleshoot, remediate, and even prevent the most complex production incidents. Our mission is to free engineers from endless firefighting and enable them to focus on creative, high-impact work. Our roots remain deeply embedded in AI research, and we're channeling that scientific rigor and creativity into building the premier AI agent lab for the enterprise. Hence, what we're proudest of is assembling the most talented yet nicest group of individuals, including researchers from MIT, Harvard, and Berkeley, to world-class engineers from industry: Citadel Securities, Cockroach Labs, Datadog, DE Shaw, ServiceNow, Glean, Perplexity, Pinecone, and more, to take on one of the hardest problems for AI to solve. Without the entire team, none of this would be possible. The Role As a Backend AI Engineer at Traversal, you'll play a key role in designing and building the core systems behind our AI site reliability engineer, the infrastructure that enables real-time incident detection, root cause analysis, and automated remediation in some of the most complex production environments. You'll work closely with our AI and infrastructure teams to productionize novel AI agent architectures and machine learning algorithms, develop high-performance inference APIs, and build internal observability tooling. Your work will span ingesting and reasoning over logs, metrics, and traces at scale, optimizing systems across hybrid SaaS and on-prem deployments, and supporting mission-critical

Solutions Engineer/Deployment Strategist New York, NY, United States About Traversal Traversal is the AI Site Reliability Engineer (SRE) for the enterprise-already trusted by some of the largest companies in the world to troubleshoot, remediate, and even prevent the most complex production incidents. Our mission is to free engineers from endless firefighting and enable them to focus on creative, high-impact work. Our roots remain deeply embedded in AI research, and we're channeling that scientific rigor and creativity into building the premier AI agent lab for the enterprise. Hence, what we're proudest of is assembling the most talented yet nicest group of individuals, including researchers from MIT, Harvard, and Berkeley, to world-class engineers from industry: Citadel Securities, Cockroach Labs, Datadog, DE Shaw, ServiceNow, Glean, Perplexity, Pinecone, and more, to take on one of the hardest problems for AI to solve. Without the entire team, none of this would be possible. The Role As a Solutions Engineer / Deployment Strategist at Traversal, you'll shape how our AI-native infrastructure product is introduced and deployed inside modern engineering organizations. You'll guide prospects from initial technical discovery through pilot design, integration planning, and successful rollout. This is a foundational, customer-facing role at the intersection of technical depth, deployment design, and relationship building. You'll architect deployment pathways, assess customer environments, and define how Traversal lands and expands within complex enterprises. You'll partner closely with CEO, CTO, Product, Engineering, and GTM to translate customer needs into high-value pilot deployments and a repeatable sales motion. You'll serve as the

Staff Full-Stack Product Engineer New York, NY, United States About Traversal Traversal is the AI Site Reliability Engineer (SRE) for the enterprise-already trusted by some of the largest companies in the world to troubleshoot, remediate, and even prevent the most complex production incidents. Our mission is to free engineers from endless firefighting and enable them to focus on creative, high-impact work. Our roots remain deeply embedded in AI research, and we're channeling that scientific rigor and creativity into building the premier AI agent lab for the enterprise. Hence, what we're proudest of is assembling the most talented yet nicest group of individuals, including researchers from MIT, Harvard, and Berkeley, to world-class engineers from industry: Citadel Securities, Cockroach Labs, Datadog, DE Shaw, ServiceNow, Glean, Perplexity, Pinecone, and more, to take on one of the hardest problems for AI to solve. Without the entire team, none of this would be possible. The Role As a Full-Stack AI Engineer at Traversal, you'll play a key role in designing and building the core product surfaces powered by our AI Site Reliability Engineer. This role is ideal for engineers who enjoy owning complex systems end-to-end-from user interface through backend services and infrastructure. You'll help translate advanced AI capabilities into reliable, production-grade product experiences used by engineers operating large-scale systems. The right person for this role combines strong product intuition with deep engineering judgment and is comfortable working across the stack, from distributed systems and data pipelines to highly interactive front-end applications. You'll partner closely with

Head of Cloud Security New York, NY, United States About Traversal Traversal is the AI Site Reliability Engineer (SRE) for the enterprise-already trusted by some of the largest companies in the world to troubleshoot, remediate, and even prevent the most complex production incidents. Our mission is to free engineers from endless firefighting and enable them to focus on creative, high-impact work. Our roots remain deeply embedded in AI research, and we're channeling that scientific rigor and creativity into building the premier AI agent lab for the enterprise. Hence, what we're proudest of is assembling the most talented yet nicest group of individuals, including researchers from MIT, Harvard, and Berkeley, to world-class engineers from industry: Citadel Securities, Cockroach Labs, Datadog, DE Shaw, ServiceNow, Glean, Perplexity, Pinecone, and more, to take on one of the hardest problems for AI to solve. Without the entire team, none of this would be possible. The Role This is a Staff-level Security Engineer hire and the first person at Traversal to own application security and cloud security end-to-end. We're looking for someone who can assess our current security posture, identify gaps, chart a roadmap, and implement fixes, tooling, and processes to make Traversal's security best-in-class. You'll be working on a platform that ingests sensitive production data from enterprise customers across some of the world's most complex environments. What you build here becomes Traversal's security foundation as we scale toward a Series B and beyond. This is a hands-on engineering role with real ownership and organization-wide impact.

Senior Product Manager - Cloud Workload & Database Protection (AI Platforms, Vector & NoSQL) United States Recruitment Fraud Alert We've learned that scammers are impersonating Commvault team members-including HR and leadership-via email or text. These bad actors may conduct fake interviews and ask for personal information, such as your social security number. What to know: - Commvault does not conduct interviews by email or text. - We will never ask you to submit sensitive documents (including banking information, SSN, etc) before your first day. If you suspect a recruiting scam, please contact us at [email protected] About Commvault Commvault (NASDAQ: CVLT) is the gold standard in cyber resilience. The company empowers customers to uncover, take action, and rapidly recover from cyberattacks - keeping data safe and businesses resilient. The company's unique AI-powered platform combines best-in-class data protection, exceptional data security, advanced data intelligence, and lightning-fast recovery across any workload or cloud at the lowest TCO. For over 25 years, more than 100,000 organizations and a vast partner ecosystem have relied on Commvault to reduce risks, improve governance, and do more with data. The Opportunity... Commvault is looking for a Senior Product Manager to define and deliver the next generation of data protection for modern cloud database and AI workloads. In this role, you'll drive product strategy, direction, and execution for Commvault data protection solutions that safeguard cloud AI platforms and services (e.g., Amazon SageMaker, Amazon Bedrock), vector databases (e.g., Pinecone and others), and NoSQL databases across on-prem and public cloud environments.

Machine Learning Data Engineer III Hyderabad, Telangana, India About Crunchyroll Founded by fans, Crunchyroll delivers the art and culture of anime to a passionate community. We super-serve over 100 million anime and manga fans across 200+ countries and territories, and help them connect with the stories and characters they crave. Whether that experience is online or in-person, streaming video, theatrical, games, merchandise, events and more, it's powered by the anime content we all love. Join our team, and help us shape the future of anime! About the role Crunchyroll is growing and changing, presenting unique challenges and opportunities to support millions of anime fans around the world. The AI/ML team provides seamless help to our internal stakeholders, ensuring an exceptional experience for all Crunchyroll fans. - Architect and implement end-to-end LLM-based applications, including chatbots, assistants, search agents, and knowledge discovery tools. - Design and deploy scalable RAG and GraphRAG pipelines using vector databases (e.g., Opensearch, Pinecone, Mongo) and document chunking strategies. - Fine-tune and optimize foundation models (e.g., Bedrock, Claude, Nova) for domain-specific use cases. - Own prompt design and evaluation - build prompt libraries and frameworks that enable rapid experimentation and reuse. - Develop APIs and microservices to serve LLM-based applications with real-time latency and uptime guarantees. - Collaborate with data, platform, and backend teams to integrate LLM capabilities into broader Crunchyroll product experiences. - Monitor and evaluate LLM systems in production for hallucination, latency, cost, and feedback loops. - Stay up to date with the latest in LLM

AI Engineer Location - Bucharest,Timisoara,Cluj,Sibiu Business Unit - ADM Job Description Today, the corporate landscape is dynamic and the world ahead is full of possibilities! None of the amazing things we do at Infosys would be possible without an equally amazing culture, the environment where ideas can flourish and where you are empowered to move forward as far as your ideas will take you. At Infosys, we assure that your career will never stand still, we will inspire you to build what's next and we will navigate further together. Our journey of learnability, values and trusted relationships with our clients continue to be the cornerstones of our organization and these values are upheld only because of our people. Your role - Autonomous task agents that plan, reason, and use tools to complete multi-step workflows -campaign QA, comms research, briefing preparation, document workflows. - Multi-agent systems where specialized agents collaborate under an orchestrator (e.g. researcher / writer / reviewer patterns). - Long-running agents with persistent memory, human-in-the-loop checkpoints, and approval gates suitable for enterprise use. Required - Strong programming skills in Python (typed, tested, production-ready). TypeScript / Node.js a plus. - Hands-on production experience with LLM APIs (OpenAI, Anthropic, Azure OpenAI, or open-weight models). - Demonstrated experience designing agentic systems - fluency with at least one agent framework (LangGraph, AutoGen, CrewAI, Semantic Kernel) AND practical familiarity with multiple agent design patterns (ReAct, plan-and-execute, reflection, multi-agent). - Practical experience with retrieval systems and at least one vector database (pgvector, Pinecone, Weaviate, Azure

AI Engineer Remote US About CoreStory CoreStory unlocks the hidden intelligence in your legacy code. By using AI to surface business logic and technical insights, we give enterprises the clarity to modernize faster, maintain apps smarter, and reduce the risk of costly failures. We're looking for an AI Engineer who is passionate about building intelligent systems that blend large language models, retrieval architectures, and conversational agents into cohesive, scalable products. This role is critical to the core AI engine powering the CoreStory Platform. Role Overview As an AI Engineer, you'll play a central role in developing and optimizing the AI components that power CoreStory's narrative intelligence platform. You'll work across LLM integration, vector search systems, prompt orchestration, agentic systems, and retrieval-augmented generation (RAG) pipelines. You'll collaborate closely with the product, data, and infrastructure teams to prototype, productionize, and continuously evolve our AI stack - ensuring that our systems are accurate, explainable, efficient, and on the cutting edge of modern AI capabilities. Key Responsibilities - Design, implement, and optimize LLM-powered systems (e.g., RAG, chat agents, summarizers, knowledge graph integration). - Build and manage data indexing and retrieval pipelines using LlamaIndex , LangChain , or similar frameworks. - Implement and maintain vector databases (e.g., Pinecone, Neo4j, Weaviate, Chroma, or Azure Cognitive Search). - Integrate open-source and proprietary LLMs (e.g., GPT, Claude, Llama) into the CoreStory Platform. - Develop and refine AI-driven features - including generative insights, automated summarization, and narrative analytics. - Collaborate with DevOps and backend teams to deploy scalable AI

Technology Analyst Infosys is seeking a hands-on Gen AI / Agentic AI Engineer t o design, develop, and deploy next-generation AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI frameworks. This role is ideal for an engineer with strong technical depth, a passion for building AI-powered applications, and experience delivering production-grade GenAI solutions in a fast-paced, innovation-driven environment . Required Qualifications - Candidate must be located within commuting distance of Mississauga, ON (Canada) or be willing to relocate to the area. - Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education. - Candidates authorized to work for any employer in Canada without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time - Bachelor's degree in computer science, AI/ML, or related field. - 3-5 years of experience in software engineering, machine learning, or data science, with hands-on experience in GenAI or LLM-based systems. - Strong Python programming skills and experience with ML/AI libraries (Hugging Face Transformers, LangChain, PyTorch). - Hands-on experience with vector databases (FAISS, Pinecone, Weaviate, Azure AI Search). \\ - Familiarity with cloud platforms and Gen AI services (AWS, Azure, GCP). - Experience with REST API development (FastAPI, Flask) and containerization (Docker). - Solid understanding of AI governance, model safety, and prompt engineering. Key Responsibilities - Design, develop, and deploy Gen AI applications using LLMs

12 - Principal, Design Engineering City San Jose | State/Province California | Country USA Req ID: 131895 Region: Country USA State/Province: State/Province California City San Jose Detailed Description - AI Architecture & Development: Lead the hands-on design and coding of RAG (Retrieval-Augmented Generation) architectures and agentic workflows. Build systems that allow hardware engineers to "query" complex design rules and legacy data with high accuracy. - Engineering Data Strategy: Write custom Python scripts and parsers to extract structured intelligence from diverse sources, including PDF datasheets, EDA output files, Netlists, and complex block diagrams. - Model Optimization & Tuning: Execute fine-tuning runs for foundation models (e.g., Gemini/Vertex AI) using proprietary historical data to create a domain-specific expert model for hardware design. - Multimodal Analysis: Develop capabilities for AI to interpret visual engineering data, such as thermal heatmaps, mechanical drawings, and circuit diagrams, to automate technical documentation and manuals. - Predictive Analytics: Implement "Shift-Left" algorithms that utilize historical yield and manufacturing data to predict potential defects during the early stages of the design cycle. - Vector Database Management: Build and optimize the vectorization pipeline (using Pinecone, Milvus, or similar) to ensure the AI can retrieve specific design rules without "hallucinations." - Technical Leadership: Act as a subject matter expert (SME) for AI/ML within the engineering organization, providing guidance on tool integ

Software Engineer - Functions State/Province1 | Job Posting Country IN India | State/Province Karnataka | Job Posting City Bangalore | City Zip Code 560087 Job Purpose and Impact We are seeking a highly skilled and hands-on Gen AI Engineer to join our team. This role demands a combination of deep technical expertise and strong business engagement skills. The ideal candidate will be responsible for driving the design, development, and delivery of cutting-edge Generative AI solutions while serving as the primary point of contact with business stakeholders. Key Accountabilities Technical Leadership Design GenAI solutions leveraging technologies like ChatGPT, OpenAI APIs, Copilot Studio, M365 Copilot , Pinecone, OCR, NLP, and Machine Learning models. Proficient with Power Platforms . Develop and integrate web applications with enterprise systems (SAP, ERP, Outlook, APIs, databases). Lead deployment and scaling of solutions using AWS, Python, React , and cloud-native practices. Ensure adherence to best practices in architecture, coding, testing, and deployment. Business Engagement & Delivery Gather requirements, define solution scope, and conduct feasibility assessments. Demonstrate existing capabilities and propose tailored AI solutions to business stakeholders. Translate business needs into technical designs and delivery plans . Collaboration & Mentorship Work closely with developers, data scientists, and cross-functional teams. Provide technical guidance and mentorship to team members. Drive alignment between business objectives and technical execution . Required Skills & Experience Hands-on experience with: Generative AI platform

Senior/Software Engineer, AI-Powered Advertising Agents Pune, IN About the Role PubMatic is looking for engineers with expertise in Generative AI and AI agent development. You will be responsible for building and optimizing advanced AI agents that leverage the latest technologies in Retrieval-Augmented Generation (RAG), vector databases, and large language models (LLMs). You will work on developing state-of-the-art solutions that enhance Generative AI capabilities and enable our platform to handle complex information retrieval, contextual generation, and adaptive interactions. What You'll Do: Provide technical leadership and mentorship to engineering teams while collaborating with architects, product managers, and UX designers to create innovative AI solutions that address complex customer challenges. Lead the design, development, and deployment of AI-driven features. Drive end-to-end ownership-from feasibility analysis and design specifications to execution and release-while ensuring quick iterations based on customer feedback in a fast-paced Agile environment. Spearhead technical design meetings and produce detailed design documents that outline scalable, secure, and robust AI architectures. Ensure that the solutions are aligned with long-term product strategy and technical roadmaps. Implement and optimize LLMs for specific use cases, including fine-tuning models, deploying pre-trained models, and evaluating their performance. Develop AI agents powered by RAG systems, integrating external knowledge sources to improve the accuracy and relevance of generated content. Design, implement, and optimize vector databases (e.g., FAISS, Pinecone, Weaviate) for efficient and scalable vector search, and work on various vector indexing algorithms. Create sophisticated prompts and fine-tune them to improve the performance of LLMs in generating precise and contextually relevant responses.