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  • Member of Technical Staff (Applied AI)

    Reka AI - US, UK, Remote
    Indexed from Ashby
    posted 200 days ago

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    Description: "reka"Description: "ai"
    +5
    Remote From the posting source Engineering From the posting source - Staff Plus From the posting source Salary not disclosed

    Member of Technical Staff (Applied AI) US, UK, Remote As a Member of Technical Staff on Applied AI, you will: - Productionize frontier AI models to solve complex real-world problems. - Collaborate closely with researchers and other teammates on the latest advancements in AI and ML. - Work closely with our customers to integrate our models into their technology stack. - Make direct business impact with a high level of product ownership. - Be a founding member of a fast-growing team and wear many hats. You may be a good fit, if you have: - An obsession with customers and a passion for solving practical (but sometimes ambiguous) real-world problems. - Experience as a machine learning engineer, ideally working on AI products for external customers. - Background as a technical founder or in a similar capacity. - Practical experience working with transformer models and LLMs. - An exceptional ability to communicate and work effectively with cross-functional teams. - Track records of owning problems end-to-end, and can learn fast and pick up new knowledge to get the job done. - A kind and collaborative nature and work style. Reka's Mission Reka's mission is to build useful multimodal artificial intelligence and use it to empower organisations and businesses. We are a globally distributed foundation model startup, headquartered in the San Francisco Bay Area, California. Embracing a remote-first approach, our team brings together top talent from around the world. Our founding team, along with many of our team members, has contributed to many

  • Member of Technical Staff (ML)

    Reka AI - US, UK, Remote
    Indexed from Ashby
    posted 1104 days ago

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    Description: "reka"Description: "ai"
    +4
    Remote From the posting source Data From the posting source - Staff Plus From the posting source Salary not disclosed

    Member of Technical Staff (ML) US, UK, Remote As a Member of Technical Staff on Machine Learning, you will: - Contribute to the entire development cycle of our cutting-edge large deep learning models. - Prepare datasets, design architectures, implement solutions, train and evaluate models to improve our products. - Collaborate closely with engineers and researchers to translate cutting-edge research into practical applications. - Join us at an exciting moment, wear many hats and help us build something from the ground up! You may be a good fit, if you have: - Experience with training and evaluating large deep learning models. - Proficiency in standard deep learning frameworks (e.g. PyTorch, JAX). - Proven track record of applying and implementing machine learning algorithms into software applications at scale. - The ability to build in a fast-paced environment under some uncertainty. - A kind and collaborative nature and work style. Reka's Mission Reka's mission is to build useful multimodal artificial intelligence and use it to empower organisations and businesses. We are a globally distributed foundation model startup, headquartered in the San Francisco Bay Area, California. Embracing a remote-first approach, our team brings together top talent from around the world. Our founding team, along with many of our team members, has contributed to many of the breakthroughs in AI over the past decade. Why Reka? - An Elite Team : Collaborate with top-tier engineers, researchers, operators from renowned organizations like Google DeepMind and Facebook AI Research (FAIR) and successful startups, driving innovation in cutting-edge

  • Member of Technical Staff (Product Engineer)

    Reka AI - US, UK, Remote
    Indexed from Ashby
    posted 82 days ago

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    Description: "reka"Description: "ai"
    +4
    Remote From the posting source Engineering From the posting source - Staff Plus From the posting source Salary not disclosed

    Member of Technical Staff (Product Engineer) US, UK, Remote About the role Join us as a Member of Technical Staff (Product Engineer) and help build the next generation of AI-native products. Reka is a multimodal AI research and product company building models that understand video, audio, and text, reason about the world, and take action. In this role, you will take ownership of product outcomes end-to-end-turning ambiguous ideas into working systems that users rely on. You will work across backend systems, product surfaces, and experimentation loops to deliver fast, reliable, and intelligent user experiences. This is a product engineering role. You won't just implement features-you will define problems, build solutions, and iterate until the outcome is achieved. What you'll do - Build and ship AI-native product features end-to-end - Design and implement backend systems, APIs, and data pipelines that support model-driven workflows - Work across the stack when needed (backend, frontend, infra, experimentation) - Collaborate closely with researchers, designers, and product to bring ideas into production - Own systems from design → implementation → monitoring → iteration - Turn ambiguous goals into concrete scopes, milestones, and shipped outcomes - Move quickly while maintaining a high bar for reliability, performance, and simplicity Like most roles at Reka, you'll wear many hats and help build something from the ground up . AI leverage & how we work We expect engineers to use AI tools as part of how they work. You will: - Use AI tools to accelerate coding, debugging, and iteration

  • Member of Technical Staff (Data Intelligence)

    Reka AI - US, UK, Singapore, Remote
    Indexed from Ashby
    posted 87 days ago

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    Description: "ai"Employer: "ai"
    +3
    Remote From the posting source Data From the posting source - Staff Plus From the posting source Salary not disclosed

    Member of Technical Staff (Data Intelligence) US, UK, Singapore, Remote In this role, you'll work closely with model researchers, data infrastructure engineers, and cross-functional partners to make sure our data is high quality and can be produced at petabyte scale in a reliable, efficient way. From understanding how data choices show up in model behavior, to building processing pipelines and running the compute behind them, you'll help ensure our models are trained on the best data we can get. What you'll do - Work with model researchers to define what “good data” means for our models, including quality metrics, validation checks, and acceptance thresholds - Explore open source datasets and create internal ones most suitable to build fundamental World Models - Build algorithms for automated data quality assessment, data domain mixtures, and domain adaptation from synthetic to real data. - Track datasets, metadata, provenance, and versions so experiments are reproducible and it's clear what data went into which training and evaluation runs - Own CI/CD and development tooling for the data stack (GitHub, Python, PyTorch), and automate repetitive workflows to reduce friction - Track and optimize throughput, storage, and compute utilization across pipelines and related assets What we're looking for - Strong ML and deep learning fundamentals with experience building and operating large-scale data and/or compute systems - Comfortable moving between research questions and production engineering: you can dig into data, run analyses, and also ship reliable systems - Demonstrated research experience with data compositions, quality, and dataset releases -

  • Member of Technical Staff (Robotics Research Lead)

    Reka AI - UK, Remote, London
    Indexed from Ashby
    posted 72 days ago

    Why we showed this

    Description: "ai"Employer: "ai"
    +3
    Remote From the posting source Engineering From the posting source - Senior From the posting source Salary not disclosed

    Member of Technical Staff (Robotics Research Lead) UK, Remote, London We are an AI research lab building foundational intelligence for the physical world. Our models are designed to solve complex real-world challenges, powering everything from intelligent robots to next-generation wearables and media. We work at the intersection of world models, video generation, and robotics, building systems that represent complex environments, reason about objects and dynamics, and translate high-level AI intentions into smooth, efficient, safe, and responsive actions across a variety of robotic embodiments. You will collaborate closely with ML researchers developing multimodal world models and generative systems, and with hardware teams and partners to ensure robotic platforms, sensing, and system dynamics behave optimally in real-world operation. What You'll Do - Build the Foundation: Collaborate with our world model team to build state-of-the-art training and simulation platform for robotics. - Build the "World": Develop persistent 3D/4D scene representations that maintain temporal consistency. - Drive Intelligence: Unlock advanced robotics planning and decision making through our in-house, cutting-edge world models. - Sim2Real: Ensure sensing and system dynamics perform reliably in high-stakes, real-world operations, where models think, simulate, and act. - Push Boundaries: Partner with top ML researchers to innovate on generative models and physical AGI. Areas of Interest We are particularly excited about candidates working on topics such as: - World models for embodied systems - 3D / 4D generative models - Robotics manipulation - Embodied AI - Multimodal AI What We're Looking For - Background in robotics, or computer vision - Experience

  • Member of Technical Staff (GPU Performance Engineer)

    Reka AI - US, UK, Singapore, Remote
    Indexed from Ashby
    posted 213 days ago

    Why we showed this

    Description: "ai"Description: "reka"
    +4
    Remote From the posting source Engineering From the posting source - Staff Plus From the posting source Salary not disclosed

    Member of Technical Staff (GPU Performance Engineer) US, UK, Singapore, Remote We are seeking an experienced GPU Performance Engineer with a strong background in Python and large-scale model training. In this role, you will design and implement improvements to our training infrastructure and directly contribute to technical decisions that optimize performance of our models. You will also work on post-training processes, including reinforcement learning and fine-tuning. Furthermore, you will contribute to improving the efficiency and scalability of our model serving infrastructure. Ideal Experience - Strong engineering skills with fluency in Python and PyTorch (or other frameworks). - Proven experience implementing and training large deep learning models. - Experience writing and debugging low-level GPU code (CUDA, C++). - Experience scaling up GPU jobs using large-scale compute clusters (e.g., Slurm or Kubernetes). - Demonstrated ability to analyze and optimize the performance of GPU-accelerated workloads, including profiling, identifying bottlenecks, and implementing performance tuning techniques. Reka's Mission Reka's mission is to build useful multimodal artificial intelligence and use it to empower organizations and businesses. We are a globally distributed foundation model startup, headquartered in the San Francisco Bay Area, California. Embracing a remote-first approach, our team brings together top talent from around the world. Our founding team, along with many of our team members, has contributed to numerous breakthroughs in AI over the past decade. Why Reka? - An Elite Team: Collaborate with top-tier engineers, researchers, and operators from renowned organizations like Google DeepMind, Facebook AI Research (FAIR), and successful startups, driving innovation in

  • posted 59 days ago

    Why we showed this

    Description: "ai"Employer: "reka"
    +3
    Remote From the posting source Engineering From the posting source - Staff Plus From the posting source Salary not disclosed

    Member of Technical Staff (Machine Learning Engineer) Remote What You'll Do - Translate cutting-edge research into production-ready machine learning systems - Design, build, and deploy end-to-end ML models and pipelines - Develop and optimize models for image and video processing - Own the full ML lifecycle: experimentation, training/fine-tuning, evaluation, and deployment - Rapidly prototype using open-source models and adapt them for product needs - Conduct experiments, analyze results, and iterate to improve performance - Collaborate with researchers and cross-functional teams (product, engineering, design) to deliver ML solutions at scale - Participate with advancements in machine learning and apply them to continuously improve products What We're Looking For Required Qualifications - MS/PhD in Computer Science, Electrical Engineering, or related field - Strong research experience with familiarity in top conferences (e.g., CVPR, ICCV, NeurIPS) - 5+ years of experience in Python and proficiency in Java, C++, or Scala - Strong understanding of diffusion models - Strong understanding of multi-threading and memory management - Solid knowledge of ML architectures: CNNs and Transformers - Experience with PyTorch or TensorFlow - Experience building end-to-end ML deployment and inference systems, especially for low-latency, real-time applications - Experience deploying ML models in cloud environments (AWS preferred) - Experience with experiment tracking systems and ML workflows Nice to Have - Experience in low level optimisation, cuda etc. - Experience productionizing and scaling ML models in real-world systems - Contributions to open-source projects - Experience with MLOps tools or distributed training systems - Familiarity with relational databases (Postgres/MySQL) -

  • AI Engineer

    Asana Inc - Warsaw
    Indexed from Greenhouse Benefit evidence checked Jun 13, 2026
    posted 111 days ago

    Why we showed this

    Title: semantic matchTitle: "ai"
    +1
    Unspecified Engineering From the posting source - Mid From the posting source Salary not disclosed Inferred from posting Fertility benefits Inferred from posting Mental health support Equity Inferred from posting 401(k) reported

    AI Engineer Warsaw We're looking for a AI Engineer. The Enterprise AI team is a new, agile group of builders dedicated to empowering Asana's internal functions through the design and implementation of scalable AI workflows. We partner cross-functionally with business and engineering teams, maintaining tight feedback loops with our users to ensure our solutions directly enhance critical GTM processes. By automating high-value business logic, we serve as a critical pillar in driving Asana's broader goal of building the Agentic Enterprise Foundations. This role is based in our Warsaw office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do, and your recruiter can share more about the in-office requirements. We offer a Contract of Employment (UoP) for our employees in Poland. What you'll achieve - Own the AI integration layer, architecting the connective tissue between foundational LLMs and our core GTM stack (e.g., Salesforce, Databricks) to automate high-value business logic. - Design prompting strategies, orchestration logic, and tool integrations that enable AI systems to retrieve data, reason over context, and take action across internal systems. - Build AI data infrastructure, including retrieval pipelines and RAG systems, to ensure AI outputs are grounded in accurate product documentation and customer insights. - Design and deploy intuitive AI interfaces - ranging from Slack apps to Chrome extensions - to bring AI directly into existing user

  • Senior AI SDET

    Reltio - Bangalore
    Indexed from Greenhouse
    posted 110 days ago

    Why we showed this

    Title: semantic matchTitle: "ai"
    +1
    Unspecified Engineering From the posting source - Senior From the posting source Salary not disclosed

    Senior AI SDET Bangalore At Reltio®, an SAP Company, we believe data should fuel your success in the enterprise AI era. Our Context Intelligence Platform turns fragmented data into a trusted, connected context so AI agents and systems can act with expert-level judgement at enterprise scale. Reltio's cloud-native SaaS platform harmonizes, unifies, and governs data across sources and formats-including unstructured data-in real time, turning them into data assets that can be mobilized in milliseconds to any application, user, or AI agent. Trusted by more than 200 of the world's largest brands across industries such as life sciences, financial services, healthcare, and technology, we fuel frictionless operations and help enterprises accelerate innovation and reduce risk. At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our “Customer First”, we strive to ensure their success. We embrace our differences and are “Better Together” as One Reltio. We are always looking to “Simplify and Share” our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We “Own It”. Every day, we innovate and evolve, so that today is “Always Better Than Yesterday”. If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence. Reltio has earned numerous awards and industry and analyst recognition for our technology, our culture and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements

  • Senior AI Engineer

    Reltio - Bangalore
    Indexed from Greenhouse
    posted 202 days ago

    Why we showed this

    Title: semantic matchTitle: "ai"
    +1
    Unspecified Engineering From the posting source - Senior From the posting source Salary not disclosed Inferred from posting Mental health support

    Senior AI Engineer Bangalore At Reltio®, an SAP Company, we believe data should fuel your success in the enterprise AI era. Our Context Intelligence Platform turns fragmented data into a trusted, connected context so AI agents and systems can act with expert-level judgement at enterprise scale. Reltio's cloud-native SaaS platform harmonizes, unifies, and governs data across sources and formats-including unstructured data-in real time, turning them into data assets that can be mobilized in milliseconds to any application, user, or AI agent. Trusted by more than 200 of the world's largest brands across industries such as life sciences, financial services, healthcare, and technology, we fuel frictionless operations and help enterprises accelerate innovation and reduce risk. At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our “Customer First”, we strive to ensure their success. We embrace our differences and are “Better Together” as One Reltio. We are always looking to “Simplify and Share” our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We “Own It”. Every day, we innovate and evolve, so that today is “Always Better Than Yesterday”. If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence. Reltio has earned numerous awards and industry and analyst recognition for our technology, our culture and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements

  • AI Engineer - Full-Stack & Applied UI

    Reltio - Bangalore
    Indexed from Greenhouse
    posted 132 days ago

    Why we showed this

    Title: semantic matchTitle: "ai"
    +1
    Unspecified Engineering From the posting source - Mid From the posting source Salary not disclosed

    AI Engineer - Full-Stack & Applied UI Bangalore At Reltio®, an SAP Company, we believe data should fuel your success in the enterprise AI era. Our Context Intelligence Platform turns fragmented data into a trusted, connected context so AI agents and systems can act with expert-level judgement at enterprise scale. Reltio's cloud-native SaaS platform harmonizes, unifies, and governs data across sources and formats-including unstructured data-in real time, turning them into data assets that can be mobilized in milliseconds to any application, user, or AI agent. Trusted by more than 200 of the world's largest brands across industries such as life sciences, financial services, healthcare, and technology, we fuel frictionless operations and help enterprises accelerate innovation and reduce risk. At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our “Customer First”, we strive to ensure their success. We embrace our differences and are “Better Together” as One Reltio. We are always looking to “Simplify and Share” our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We “Own It”. Every day, we innovate and evolve, so that today is “Always Better Than Yesterday”. If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence. Reltio has earned numerous awards and industry and analyst recognition for our technology, our culture and our people. Reltio was founded on a distributed workforce and

  • AI Tutor - Russian

    xAI - Remote
    Indexed from Greenhouse Comp disclosed in posting
    posted 103 days ago

    Why we showed this

    Title: semantic matchTitle: "ai"
    +1
    Remote From the posting source Teaching Education From the posting source - Mid From the posting source $35-$45/hr From the posting source

    AI Tutor - Russian Remote ABOUT xAI xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: As an AI Tutor specialized in multilingual audio capabilities, you will contribute to xAI's mission by training and refining Grok to excel in voice interactions, speech recognition, and auditory experiences across diverse languages, accents, and cultural contexts. Your work will focus on curating and annotating high-quality audio data to enhance Grok's global accessibility, enabling natural spoken interactions for users worldwide, bridging language barriers through accurate speech processing, and improving the AI's handling of multilingual audio nuances. RESPONSIBILITIES: - Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages. - Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details (such as intonation, rhythm, and

  • posted 153 days ago

    Why we showed this

    Description: "ai"Location: "ai"
    +2
    Unspecified Engineering From the posting source - Senior From the posting source Salary not disclosed Equity

    Senior AI Engineer – Python, RAG, Agentic AI, ADK, MCP, GCP, Vertex AI, IBM Watsox CHENNAI, India Job Summary. We are seeking a highly skilled AI Engineer experience in Software Development, Data Science, or Machine Learning to design, develop, and deploy cutting-edge AI systems leveraging Large L...

  • Staff Software Engineer, AI

    Asana Inc - Warsaw
    Indexed from Greenhouse Benefit evidence checked Jun 13, 2026
    posted 68 days ago

    Why we showed this

    Title: semantic matchTitle: "ai"
    +1
    Unspecified Engineering From the posting source - Staff Plus From the posting source Salary not disclosed Inferred from posting Fertility benefits Inferred from posting Mental health support Equity Inferred from posting 401(k) reported

    Staff Software Engineer, AI Warsaw The AI Retrieval team powers the intelligence behind Asana's AI features by finding relevant work graph content and delivering it to LLM context windows. Our work enables AI features that truly understand your work-both within and outside of Asana-and use that understanding to take action. We also own Asana's traditional search experience. As a Staff Software Engineer on the AI Retrieval team, you'll build the systems that make Asana's AI smart and responsive. You'll tackle challenging problems in search and retrieval, working to improve the speed, cost-efficiency, and quality of our systems while expanding their capabilities to new data sources. This role is based in our Warsaw office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do, and your recruiter can share more about the in-office requirements. We offer a Contract of Employment (UoP) for our employees in Poland. What you'll achieve - Reduce the latency and cost of our retrieval system, making Asana's AI features faster and more efficient - Improve the quality and relevance of search results to help users find exactly what they need - Expand the retrieval system's capabilities to query new Asana objects and third-party data sources - Build and optimize search infrastructure using OpenSearch/ElasticSearch - Contribute to ML-powered features like embeddings-based retrieval and semantic search - Collaborate with cross-functional partners

  • Forward Deployed Engineer - Applied AI

    DevRev - Japan Remote
    Indexed from Greenhouse
    posted 131 days ago

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    Title: semantic matchTitle: "ai"
    +1
    Remote From the posting source Engineering From the posting source - Mid From the posting source Salary not disclosed

    Forward Deployed Engineer - Applied AI Japan Remote About DevRev At DevRev, we're building the future of work with Computer - your AI teammate. Unlike traditional tools, Computer unifies all your data sources, tools, and workflows into a single AI-ready platform, giving employees real-time insights, proactive suggestions, and powerful agentic actions. It extends your existing software with AI-native apps and agents that work alongside your teams and customers - updating workflows, coordinating across teams, and eliminating repetitive work. We call this Team Intelligence: human-AI collaboration that breaks down silos, brings people back together, and frees you to solve bigger problems. Backed by Khosla Ventures and Mayfield with $150M+ raised, DevRev is trusted by global companies across industries. Forward Deployed Engineer As a Forward Deployed Engineer at DevRev, you will work closely with our pre- and post-sales Customer Experience team by developing solutions over the core platform via applications written in TypeScript, JavaScript, Python, etc. One of the key functions of this role is, building the Knowledge Graph that includes integration of DevRev with other SaaS and non-SaaS systems through webhooks and APIs and/ or real-time communication architectures. You will be expected to employ your creativity and expertise to ideate and shape how AI, analytics and workflows are used in customers' processes. What You'll Do - Customer-facing: 30% working directly with customers Coding & Integration: 70-80% hands-on technical implementation - Build & Deploy Solutions: Design, develop, and launch AI agents, integrations, and automations that connect DevRev with customers' existing tech stacks

  • Lead AI & Agentic AI Architect (AI Squad Leader)

    Kyndryl - Valbonne (KFR51693)
    Indexed from Workday Benefit evidence checked Jun 7, 2026
    posted 90 days ago

    Why we showed this

    Description: "ai"Title: "ai"
    +1
    Unspecified Engineering From the posting source - Senior From the posting source Salary not disclosed Equity Inferred from posting 401(k) reported

    Lead AI & Agentic AI Architect (AI Squad Leader) Valbonne (KFR51693) posted: Posted 30+ Days Ago

  • posted 279 days ago

    Why we showed this

    Description: "ai"Location: "ai"
    +2
    Unspecified Engineering From the posting source - Mid From the posting source Salary not disclosed Equity

    Intermediate AI Engineer – Python, RAG, Agentic AI, ADK, MCP, GCP, Vertex AI, IBM Watsonx CHENNAI, India Job Summary. We are seeking a highly skilled AI Engineer with 5+ years of overall experience in software development, Data Science, or Machine Learning to design, develop, and deploy cutting-edge AI s...

  • posted 194 days ago

    Why we showed this

    Description: "ai"Location: "ai"
    +2
    Unspecified Engineering From the posting source - Senior From the posting source Salary not disclosed Equity

    Intermediate / Senior AI Engineer – Python, RAG, Agentic AI, ADK, MCP, GCP, Vertex AI, IBM Watsonx CHENNAI, India Job Summary. We are seeking a highly skilled AI Engineer experience in Software Development, Data Science, or Machine Learning to design, develop, and deploy cutting-edge AI systems leveraging Large L...

  • Member of Applied AI - Architect

    DevRev - Bangalore, India
    Indexed from Greenhouse
    posted 306 days ago

    Why we showed this

    Title: semantic matchTitle: "ai"
    +1
    Unspecified Engineering From the posting source - Senior From the posting source Salary not disclosed

    Member of Applied AI - Architect Bangalore, India About DevRev At DevRev, we're building the future of work with Computer - your AI teammate. Unlike traditional tools, Computer unifies all your data sources, tools, and workflows into a single AI-ready platform, giving employees real-time insights, proactive suggestions, and powerful agentic actions. It extends your existing software with AI-native apps and agents that work alongside your teams and customers - updating workflows, coordinating across teams, and eliminating repetitive work. We call this Team Intelligence: human-AI collaboration that breaks down silos, brings people back together, and frees you to solve bigger problems. Backed by Khosla Ventures and Mayfield with $150M+ raised, DevRev is trusted by global companies across industries. About the Role: As a Forward Deployment Architect, you will serve as a hands-on senior technical architect on the Applied AI Engineering team, owning the end-to-end design and delivery of AI-driven business transformation projects. You'll work closely with pre-sales teams to scope technical integration and implementation strategies, translating business requirements into architectural solutions. Once opportunities move to post-sales, you'll own the detailed technical designs from original scoping documents and drive execution including hands-on coding to build proofs-of-concept, custom integrations, and solution prototypes that validate technical feasibility. As the technical owner of the customer relationship, you'll partner cross-collaboratively to ensure successful delivery. Your role spans from understanding domain-specific customer needs to architecting scalable, agent-based AI solutions using DevRev's platform**, with direct involvement in implementing key technical components and debugging complex integration challenges. This position

  • Manager, AI Engineering - AI & Business Tech Engineering

    DigitalOcean - Boston
    Indexed from Custom Structured Benefit evidence checked Jun 7, 2026
    posted 59 days ago

    Why we showed this

    Description: "ai"Title: "ai"
    +1
    Unspecified Data From the posting source - Senior From the posting source Salary not disclosed Equity Inferred from posting 401(k) reported

    Manager, AI Engineering - AI & Business Tech Engineering Boston Manager, AI Engineering - AI & Business Tech Engineering

  • posted 307 days ago

    Why we showed this

    Description: "ai"Location: "ai"
    +2
    Unspecified Engineering From the posting source - Staff Plus From the posting source Salary not disclosed Equity

    AI Application Architect - AI, ML, GenAI, GCP, IBM Watsonx, Vertex AI, Python, MLOps CHENNAI, India Job Summary. We are seeking an accomplished AI Application Architect to join our AI Acceleration teams and play a pivotal role in designing and delivering enterprise-scale AI and Generative AI (GenAI)...

  • AI Specialist - AI For Research

    Xanadu - Location not specified
    Indexed from Jazzhr
    posted 61 days ago

    Why we showed this

    Description: "ai"Title: "ai"
    +1
    Unspecified Data From the posting source - Mid From the posting source Salary not disclosed

    AI Specialist - AI For Research AI Specialist - AI For Research

  • Senior Software Engineer - Verification and Reliability

    Weka - Tel Aviv, Israel
    Indexed from Greenhouse
    posted 109 days ago

    Why we showed this

    Description: semantic matchDescription: "ai"
    +1
    Unspecified Engineering From the posting source - Senior From the posting source Salary not disclosed

    Senior Software Engineer - Verification and Reliability Tel Aviv, Israel WEKA is architecting a new approach to the enterprise data stack built for the age of reasoning. NeuralMesh by WEKA sets the standard for agentic AI data infrastructure with a cloud and AI-native software solution that can be deployed anywhere. It transforms legacy data silos into data pipelines that dramatically increase GPU utilization and make AI model training and inference, machine learning, and other compute-intensive workloads run faster, work more efficiently, and consume less energy. WEKA is a pre-IPO, growth-stage company on a hyper-growth trajectory. We've raised $375M in capital with dozens of world-class venture capital and strategic investors. We help the world's largest and most innovative enterprises and research organizations, including 12 of the Fortune 50, achieve discoveries, insights, and business outcomes faster and more sustainably. We're passionate about solving our customers' most complex data challenges to accelerate intelligent innovation and business value. If you share our passion, we invite you to join us on this exciting journey. The Mission At WEKA, we are building NeuralMesh™- the world's first intelligent, adaptive mesh storage system. To ensure our platform is unbreakable for the world's largest AI and GPU clusters, we don't just "test" our code. We build an adversarial distributed system as complex and sophisticated as the product itself. We are moving away from traditional QA automation. We are building a high-octane engineering force that treats reliability as a high-end software problem. We need "Quality Hackers" who want to build

  • Sr. AI Product Owner - Enterprise AI Platforms

    Lincoln Financial - Location not specified
    Indexed from Custom Structured Benefit evidence checked Jun 7, 2026
    posted 61 days ago

    Why we showed this

    Description: "ai"Title: "ai"
    +1
    Unspecified Product From the posting source - Senior From the posting source Salary not disclosed Equity Inferred from posting 401(k) reported

    Sr. AI Product Owner - Enterprise AI Platforms Sr. AI Product Owner - Enterprise AI Platforms

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