Simple AI jobs

Software Engineer, AI Agents San Francisco, California, United States About Blockit Time is the the most valuable resource we have, yet coordinating it remains stuck in the dark ages. At Blockit, we're building the AI that finally fixes this: an autonomous time agent that handles the full complexity of scheduling-timezones, group coordination, in-person logistics-like an executive assistant that never sleeps. While every LLM application to date has been a one-on-one conversation, Blockit is one of the first multiplayer, stateful AI agents-coordinating between multiple people, maintaining context across conversations, and taking real actions in the world. As more people connect their calendars, our network becomes exponentially more powerful. This is the foundation of a platform of AI agents with access to the world's time. We're backed by Sequoia, and we're a small, sharp team that moves fast, ships constantly, and holds a high bar. If you want to build something genuinely new, we'd love to talk. You can visit our teams page to learn more about our team and culture! The role You'll own the intelligence at the core of Blockit: our scheduling agents that autonomously coordinate meetings across people, time zones, and constraints. This includes designing and iterating on agent architectures, writing and refining prompts, building evaluation frameworks, and shipping new capabilities as models improve. You'll work across our orchestrator agents (which manage conversation flow) and specialized sub-agents, with the goal of making Blockit smarter, faster, and capable of handling increasingly complex coordination problems. You'll be architecting and building real-world

Forward Deployed Engineer - AI Solutions Engineering New York Office Aircall is a unicorn, AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, resolve issues faster, and scale customer-facing teams. We're redefining customer communications by bringing voice, SMS, WhatsApp, and AI together into one seamless workspace. Our momentum comes from a simple idea: help teams work smarter, not harder. Aircall's AI Voice Agent automates routine calls, AI Assist streamlines post-call work, and AI Assist Pro delivers real-time guidance so people can do their best work. The result is higher revenue, faster resolutions, and teams that scale with confidence. Aircall is headquartered in Paris, our European HQ, with a strong North American presence anchored in Seattle, our North American HQ, and teams across Madrid, London, Berlin, San Francisco, New York City, Sydney, and Mexico City. We've built a product customers love and a business that's scaling quickly, backed by world-class investors and driven by rapid AI innovation across multiple product lines. At Aircall, you'll join a company in motion. We're ambitious, product-driven, and execution-focused, with visible impact, fast decisions, and real growth. How we work at Aircall: We're customer-obsessed, data-driven, and focused on delivering meaningful outcomes. We value ownership, continuous learning, and thoughtful speed. If you thrive in a collaborative, fast-moving environment where trust and impact matter, you'll feel at home here. About the Team Aircall's Forward Deployed Engineering team connects our innovative AI Agents technology to real-world SMB workflows. We turn possibility into production - delivering automation

Software Engineer, AI Agent Seoul, South Korea The Company Sendbird is on a mission to build the AI workforce of tomorrow. For over a decade, we built the infrastructure behind conversations-chat, voice, video, messaging APIs-and became the #1 CPaaS platform for in-app communications. 4,000+ brands trust us. 7 billion messages flow through our platform every month. 300 million monthly active users. We powered conversations for DoorDash, Match Group, Noom, Yahoo Sports, Rakuten, and thousands of others. We were good at what we did. Really good. We also saw it early: AI would fundamentally reshape how businesses talk to customers. The infrastructure we'd spent a decade building would become commoditized. The value would move up the stack-into intelligence, into experience, into outcomes. We had a choice: protect what we built, or reinvent ourselves. We chose reinvention. In December 2024, we made the full strategic pivot to AI-first customer experience. By February 2025, we'd launched our AI agent for enterprise CX-built on a decade of conversation data, now with intelligence on top. And in November 2025, we rebranded to Delight.ai. The name says it all. AI's real promise isn't efficiency or cost savings. It's giving customers back something they lost-the feeling of being truly understood and cared for. Not satisfied. Delighted. The Product Delight.ai is the AI concierge for customer experience. Most AI agents forget you the moment the conversation ends. Ours doesn't. Delight.ai builds memory over time, learns preferences, and connects context across every channel-chat, SMS, email, voice, WhatsApp-without losing the

AI Research Scientist 2 Locations posted: Posted 15 Days Ago

Staff Software Engineer, Frontend – San Francisco San Francisco, California, United States About Flow Flow Engineering is an AI-native requirements platform that makes complex engineering work clear, collaborative, and verifiable. We're reimagining how complex hardware is built by pairing world-class engineers with AI agents to design, iterate, and ship faster than ever before. About the role Flow is hiring a staff frontend software engineer to own core user experiences in Flow and bring AI-powered workflows into a clean, intuitive UI. You will work closely with design, product, infra, and AI engineers to make complex systems engineering concepts feel simple and fast.​ You will help define how “agentic systems engineers” and domain experts interact with Flow, from requirements views to reviews, simulations, and AI assistance.​ What you'll do - Own major user-facing surfaces in Flow v3, including interactive requirements views, collaboration and review flows, and AI-assisted workflows. - Implement high-quality, accessible UI using a modern frontend framework and component system. - Integrate AI features into the product in ways that feel natural, interpretable, and helpful to engineers. - Partner with design and product to iterate quickly on interaction patterns, prototypes, and new workflows. - Help shape frontend architecture, design systems, and performance optimizations as the app and user base scale. About you - 8+ years of experience building rich, data-heavy web applications with a modern frontend framework. - Strong experience with React (or similar) and TypeScript, including component design, state management, and testing. - A product mindset: you think in terms

Software Engineer- London London, England, United Kingdom About Flow Flow Engineering is an AI-native requirements platform for modern engineering organizations, enabling hardware teams to collaborate with AI agents to design, validate, and evolve complex systems with speed and rigor. About the role Flow is seeking software engineers to build AI-powered capabilities that help teams author, review, and manage requirements more effectively. You will work on agentic systems engineer and agentic domain engineer workflows-bringing AI into the center of how teams reason about their systems.​ This role sits at the intersection of AI, product, and full-stack engineering: you will take ideas from prototype all the way to stable, observable features in production.​ What you'll do - Design and ship AI-powered features such as assisted requirement drafting, consistency checks, impact analysis, and intelligent suggestions for systems and domain engineers. - Build agentic workflows that help “agentic systems engineers” and “agentic domain engineers” explore designs, simulate changes, and validate requirements.​ - Evaluate and integrate language models and related tooling, optimizing for reliability, latency, cost, and debuggability in production. - Build and maintain the surrounding infrastructure: data pipelines, evaluation harnesses, prompt and model management, observability, and safety/guardrails. - Work across the stack-from backend integrations and APIs to simple UI hooks-to deliver complete AI features, not just model endpoints. - Partner with product and customers to identify high-value workflows, run experiments, and iterate quickly based on usage. About you - 3+ years developing production software, including designing, testing, and operating services at scale in a

Senior AI/ML Engineer 2 Locations posted: Posted 30+ Days Ago

Staff Software Engineer, Full Stack – San Francisco San Francisco, California, United States About Flow Flow Engineering is an AI-native requirements platform for modern engineering organizations, enabling hardware teams to collaborate with AI agents to design, validate, and evolve complex systems with speed and rigor. About the role Flow is seeking staff software engineers to build AI-powered capabilities that help teams author, review, and manage requirements more effectively. You will work on agentic systems engineer and agentic domain engineer workflows-bringing AI into the center of how teams reason about their systems.​ This role sits at the intersection of AI, product, and full-stack engineering: you will take ideas from prototype all the way to stable, observable features in production.​ What you'll do - Design and ship AI-powered features such as assisted requirement drafting, consistency checks, impact analysis, and intelligent suggestions for systems and domain engineers. - Build agentic workflows that help “agentic systems engineers” and “agentic domain engineers” explore designs, simulate changes, and validate requirements.​ - Evaluate and integrate language models and related tooling, optimizing for reliability, latency, cost, and debuggability in production. - Build and maintain the surrounding infrastructure: data pipelines, evaluation harnesses, prompt and model management, observability, and safety/guardrails. - Work across the stack-from backend integrations and APIs to simple UI hooks-to deliver complete AI features, not just model endpoints. - Partner with product and customers to identify high-value workflows, run experiments, and iterate quickly based on usage. About you - 8+ years developing production software, including designing, testing,

GDB/X - Junior Agentic AI Engineer (m/f/d) Country / Location India Junior Agentic AI Engineer OrgCode: GDB/X Product Team: Intelligent Automation Responsibilities: - Create Agent Tools: Write Python functions and API wrappers that allow our agents to perform actions (e.g., "Look up material price in SAP"), following the MCP standard. - Maintain Quality: Write comprehensive unit tests and "Evals" (using LLM-as-a-Judge) to ensure our agents are accurate, safe, and helpful. - Support Operations: Monitor agent performance using our observability tools, helping to identify and fix issues like hallucinations or failed API calls. - Build & Test Agents: Develop specific domain agents (e.g., "HR Policy Assistant", "IT Ticket Classifier") using our pre-validated Blueprints and Azure AI Foundry. - Learn & Grow: Rapidly upskill on AKS, Databricks, and LangGraph, moving from building simple chatbots to complex autonomous systems under the mentorship of senior team members. Qualifications: - Foundational Skills: Strong grasp of Python programming. You know your way around data structures, APIs (REST), and basic version control (GitHub). - AI Curiosity: You have experimented with LLMs (OpenAI API, Hugging Face) and understand the basics of Prompt Engineering and RAG. - Tech Savvy: Familiarity with Docker and basic cloud concepts (Azure/AWS) is a big plus. - Mindset: You are a fast learner who isn't afraid to break things in a sandbox to understand how they work. You are passionate about how AI can solve real-world problems. - Team Player: You communicate c

AI Engineer New York | Hybrid | Remote ABOUT CINDER Cinder provides a cutting-edge platform to protect the internet. Cinder safeguards the interaction layer: the front end of products that users engage - and sometimes abuse. Our AI agents, integrated workflow platform, and deep expertise power real-time integrity at the speed of innovation. We support some of the most important and innovative companies in the world, including OpenAI, Midjourney, and ElevenLabs. Cinder is backed by Accel and Y Combinator. We care deeply about being relentless, intentional, and empathetic. We hire gritty thinkers who set ego aside, aggressively solve customer problems, and get better every day. We're building an enterprise-grade platform to make the internet safer and we need highly curious, hard-working self-starters. Cinder is seeking an AI/ML engineer to architect and deploy production AI systems at scale. You'll contribute to the strategic vision for machine learning and AI at Cinder, collaborating with data and software engineers to build world-class AI capabilities that directly impact our product and business outcomes. We're looking for an engineer first - someone who builds, ships, and maintains production systems rather than writing papers. If you've taken ML models from experimentation to production at scale, navigated the messy realities of real-world data, and understand that robust infrastructure matters as much as model performance, we want to talk. WHAT YOU'LL DO: - Own the complete lifecycle of large language model implementation: from data preparation and fine-tuning through rigorous evaluation and production deployment. - Develop automated evaluation frameworks

Senior Machine Learning Engineer - Speech to Text Paris office ABOUT NABLA We are a team of entrepreneurs, clinicians and engineers committed to bringing back joy to the practice of medicine. Together with a community of clinician innovators, we've harnessed the best of machine learning science to develop Nabla: the leading AI assistant that's restoring the human connection at the heart of healthcare. By streamlining clinical documentation, Nabla is helping clinicians focus on what matters most - patient care. Today, over 100,000+ clinicians across 130+ healthcare organizations trust Nabla to support how they deliver care every day. We're at the start of an ambitious journey: Ambient listening, dictation, coding, and command capabilities are all converging into a proactive assistant that intuitively streamlines clinical and financial workflows. Backed by a recent $70M Series C, we're hiring to build the next generation of clinical AI and improve the lives of clinicians and patients everywhere. This is a great time to join us! THE BEST OF AI AT THE SERVICE OF HEALTHCARE Nabla's phenomenal traction is the result of years of rigorous product and ML development. Led by former Meta AI Research engineers, our team continuously pushes the frontier of speech and language AI in real-world clinical environments. We operate at scale, processing billions of tokens and thousands of hours of audio every week. Yann LeCun, Meta's Chief AI Scientist and Turing award winner, is an advisor to Nabla. ENGINEERING AT NABLA Engineering at Nabla is lean, fast-moving, and deeply technical. Our teams

Team Lead, Product Enablement & Education Sydney Office Aircall is a unicorn, AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, resolve issues faster, and scale customer-facing teams. We're redefining customer communications by bringing voice, SMS, WhatsApp, and AI together into one seamless workspace. Our momentum comes from a simple idea: help teams work smarter, not harder. Aircall's AI Voice Agent automates routine calls, AI Assist streamlines post-call work, and AI Assist Pro delivers real-time guidance so people can do their best work. The result is higher revenue, faster resolutions, and teams that scale with confidence. Aircall is headquartered in Paris, our European HQ, with a strong North American presence anchored in Seattle, our North American HQ, and teams across Madrid, London, Berlin, San Francisco, New York City, Sydney, and Mexico City. We've built a product customers love and a business that's scaling quickly, backed by world-class investors and driven by rapid AI innovation across multiple product lines. At Aircall, you'll join a company in motion. We're ambitious, product-driven, and execution-focused, with visible impact, fast decisions, and real growth. How we work at Aircall: We're customer-obsessed, data-driven, and focused on delivering meaningful outcomes. We value ownership, continuous learning, and thoughtful speed. If you thrive in a collaborative, fast-moving environment where trust and impact matter, you'll feel at home here. As Aircall continues its transition from a multi-product company to an AI-first platform, product complexity and expectations around value articulation are increasing for both sellers and buyers. Ensuring

Business Intelligence Engineer, Rapid & Rural Logistics (R2L) Science & AI Bellevue, Washington, USA R2L (Rural and Rapid Logistics) is looking for a BIE II to drive AI-powered analytics and decision systems at scale. They will build and produce intelligent data products that combine ML/agentic capabilities with robust BI to influence real-time operational decisions. Key job responsibilities As a BIE II on our team, you will sit at the intersection of data, science, and product - owning end-to-end analytics solutions from ambiguous problem spaces to deployed insights. You'll design scalable data models, build high-quality datasets, and partner closely with Data Scientists and System Development Engineers to integrate predictive models and AI agents into business workflows. This role goes beyond dashboards: you'll share how AI is used in production, evaluate model performance, and ensure outputs are accurate, explainable, and actionable. Key responsibilities include developing performant ETL pipelines, defining metrics and experimentation frameworks, and building intuitive reporting layers that surface both descriptive and predictive insights. We're looking for someone who is equally comfortable writing complex SQL, thinking statistically about data, and collaborating on AI-driven solutions. If you're excited about building the next generation of data + AI agents/systems that directly impact operations, this role offers high ownership and visibility. About the team R2L covers a portfolio of high-growth businesses with unique fulfillment and operational capabilities - including Sub Same Day (SSD), Rural Super Rural+ (RSR+), Amazon Now, and SSD Direct. Our mission is simple: fast, accurate delivery. To meet that mission at

Senior AI Developer Bangalore, India posted: Posted 7 Days Ago

Manager, Data Science - Agentic AI Raleigh, NC posted: Posted 30+ Days Ago

Software Engineer - AI Washington, D.C. | Hybrid | Remote Company Overview Promise modernizes how government agencies and utilities support people in financial difficulty. We build technology that makes it simple for residents to receive benefits, engage with assistance programs, set up flexible payment plans, and stay on track-while helping agencies increase efficiency, recover revenue, and deliver services with dignity. Our mission is to transform public systems so they work better for everyone, especially the most vulnerable. Our team includes experts from companies like Palantir, Google, Stripe , and esteemed government leaders. We work hard and believe deeply in what we do. We're looking for excellent people to build innovative, resilient technology. Backed by over $50 million in funding from top investors - such as Reid Hoffman, Howard Schultz, Michael Seibel, Y Combinator, 8VC, The General Partnership, First Round Capital, Kapor Capital, XYZ Ventures, and Bronze Investments - Promise has been recognized as one of Fast Company's "World's Most Innovative Companies of 2022,” “Forbes Next Billion-Dollar Startups 2024,” and Y Combinator's #1 GovTech startup. ABOUT THE ROLE At Promise, we're transforming how people in financial difficulty connect with public services-using technology to make systems simpler, faster, and more human. As a Software Engineer - AI, you'll design and deliver end-to-end generative AI and large language model (LLM) applications that directly power this mission. You'll build AI pipelines and infrastructure for prompt engineering, fine-tuning, document parsing, and RAG systems, and help bring new AI capabilities from early concept into real-world deployment.

Machine Learning Engineer - Vision Products Software Los Angeles, United States of America AI is transforming how people interact with technology, and Apple is building the next generation of intelligent, privacy-preserving experiences across its platforms. We're looking for a Machine Learning Engineer to help prototype, build, and ship conversational and generative AI systems that feel deeply human, responsive, and trustworthy. In this role, you'll work at the intersection of machine learning research and product engineering-rapidly iterating on new ideas, translating them into scalable systems, and partnering closely with cross-functional teams to bring them to life. You'll contribute to foundational capabilities that power conversational understanding, generation, personalization, and embodied interactions for Apple's Vision devices As a Machine Learning Engineer on our team, you will design, prototype, and deploy ML-driven features that power conversational and generative experiences. You'll work hands-on with modern model architectures; ranging from large language and multimodal models to ranking and personalization system and integrate them into production frameworks used at scale. You'll collaborate closely with researchers, product managers, designers, and platform engineers to align on problem definitions, iterate on solutions, and ship features that meet Apple's standards for reliability, privacy, and delight. This role balances experimentation with execution: moving quickly when exploring new ideas, and rigorously when transitioning work into production. Design and implement ML models and algorithms for conversational understanding, generation, and personalization Rapidly prototype and evaluate new model architectures, prompting strategies, and fine-tuning approaches Translate research ideas into production-ready systems, collaborating across teams to ensure smooth

Senior Software Engineer, Frontend (UI) – San Francisco San Francisco, California, United States About Flow Flow Engineering is an AI-native requirements platform that makes complex engineering work clear, collaborative, and verifiable. We're reimagining how complex hardware is built by pairing world-class engineers with AI agents to design, iterate, and ship faster than ever before. About the role Flow is hiring a senior frontend software engineer to own core user experiences in Flow and bring AI-powered workflows into a clean, intuitive UI. You will work closely with design, product, infra, and AI engineers to make complex systems engineering concepts feel simple and fast.​ You will help define how “agentic systems engineers” and domain experts interact with Flow, from requirements views to reviews, simulations, and AI assistance.​ What you'll do - Own major user-facing surfaces in Flow v3, including interactive requirements views, collaboration and review flows, and AI-assisted workflows. - Implement high-quality, accessible UI using a modern frontend framework and component system. - Integrate AI features into the product in ways that feel natural, interpretable, and helpful to engineers. - Partner with design and product to iterate quickly on interaction patterns, prototypes, and new workflows. - Help shape frontend architecture, design systems, and performance optimizations as the app and user base scale. About you - 5+ years of experience building rich, data-heavy web applications with a modern frontend framework. - Strong experience with React (or similar) and TypeScript, including component design, state management, and testing. - A product mindset: you think in

Senior Machine Learning Engineer Seattle About Hive Hive is the leading provider of cloud-based AI solutions to understand, search, and generate content, and is trusted by hundreds of the world's largest and most innovative organizations. The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive also offers turnkey software applications powered by proprietary AI models and datasets, enabling breakthrough use cases across industries. Together, Hive's solutions are transforming content moderation, brand protection, sponsorship measurement, context-based ad targeting, and more. Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco, Seattle, and Delhi offices. Please reach out if you are interested in joining the future of AI! Senior Machine Learning Engineer In order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at the forefront of deep learning technology, prototyping state-of-the-art neural net models and launching these models into production. We value hard workers who have no qualms working with terabyte-scale datasets, who are interested in learning new technologies at all levels of the machine learning stack, and who move fast and take ownership of their projects. Our ideal candidate has experience creating a working machine learning-powered project from the ground up, contributes innovative ideas and ingenious implementations to the team,

Brand Designer Seattle Office Aircall is a unicorn, AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, resolve issues faster, and scale customer-facing teams. We're redefining customer communications by bringing voice, SMS, WhatsApp, and AI together into one seamless workspace. Our momentum comes from a simple idea: help teams work smarter, not harder. Aircall's AI Voice Agent automates routine calls, AI Assist streamlines post-call work, and AI Assist Pro delivers real-time guidance so people can do their best work. The result is higher revenue, faster resolutions, and teams that scale with confidence. Aircall is headquartered in Paris, our European HQ, with a strong North American presence anchored in Seattle, our North American HQ, and teams across Madrid, London, Berlin, San Francisco, New York City, Sydney, and Mexico City. We've built a product customers love and a business that's scaling quickly, backed by world-class investors and driven by rapid AI innovation across multiple product lines. At Aircall, you'll join a company in motion. We're ambitious, product-driven, and execution-focused, with visible impact, fast decisions, and real growth. How we work at Aircall: We're customer-obsessed, data-driven, and focused on delivering meaningful outcomes. We value ownership, continuous learning, and thoughtful speed. If you thrive in a collaborative, fast-moving environment where trust and impact matter, you'll feel at home here. Aircall seeks a Brand Designer to evolve our visual identity and marketing collateral. This role requires a designer proficient in Figma, with expertise in AI-assisted workflows and a strong understanding of design

Senior Software Engineer, Full Stack – San Francisco San Francisco, California, United States About Flow Flow Engineering is an AI-native requirements platform for modern engineering organizations, enabling hardware teams to collaborate with AI agents to design, validate, and evolve complex systems with speed and rigor. About the role Flow is seeking full stack senior software engineers to build AI-powered capabilities that help teams author, review, and manage requirements more effectively. You will work on agentic systems engineer and agentic domain engineer workflows-bringing AI into the center of how teams reason about their systems.​ This role sits at the intersection of AI, product, and full-stack engineering: you will take ideas from prototype all the way to stable, observable features in production.​ What you'll do - Design and ship AI-powered features such as assisted requirement drafting, consistency checks, impact analysis, and intelligent suggestions for systems and domain engineers. - Build agentic workflows that help “agentic systems engineers” and “agentic domain engineers” explore designs, simulate changes, and validate requirements.​ - Evaluate and integrate language models and related tooling, optimizing for reliability, latency, cost, and debuggability in production. - Build and maintain the surrounding infrastructure: data pipelines, evaluation harnesses, prompt and model management, observability, and safety/guardrails. - Work across the stack-from backend integrations and APIs to simple UI hooks-to deliver complete AI features, not just model endpoints. - Partner with product and customers to identify high-value workflows, run experiments, and iterate quickly based on usage. About you - 5+ years developing production software, including

Data Engineer for AI Product Paris Our mission and customers: We are creating the freedom for SMEs to succeed by delivering Europe's leading finance workspace with banking at its core, augmented by financial tools. We are proud to be rated 4.8 on Trustpilot, based on 55,000+ reviews. Our culture puts customer satisfaction at the core of what we do, as proven by our Net Promoter Score of 75. Our journey: Founded in 2017 by Alexandre and Steve, Qonto has grown to 1,600+ Qontoers serving over 600,000+ customers across 8 European countries. We have been profitable since 2023, and we are just getting started. Our beliefs: We hire for skills and potential. With 80+ nationalities, 45% women, of which 56% of women in our leadership team, diversity isn't a program; It's who we are. We've built a discrimination-free hiring process because the best teams are built on merit. AI at Qonto: AI is deeply embedded in how we work (here) - Every Qontoer gets unlimited access to the best AI tools. We want people who experiment without waiting for permission, push AI beyond the obvious, know when to trust it, and when to question it. ------------------------------------------------------------------------------------------------------ Join us as a Data Engineer (ML Infrastructure) to build the data layer that powers Qonto's machine learning products. Working alongside 15 ML Engineers, you will own the pipelines, feature stores, and model serving infrastructure that turn raw financial data into production-grade ML - so engineers spend their time on models, not plumbing. You will

Applied AI Engineer SF Headquarters | OnSite ABOUT US We're building the AI infrastructure powering the future of financial operations - starting with automating the most painful and complex workflows in loan servicing. - Backed by a16z and Y Combinator, with $65M raised in Series A funding. - 8-figure ARR 20% of the auto lending industry, and processing millions of real customer calls and transactions daily. - Fully deployed with major financial institutions - not just PoCs. - We are expanding into new financial services segments! - In-person office culture in San Francisco, CA. We're fully integrated with our customers, own the full stack, and are moving fast to bring modern AI into regulated industries where precision, reliability, and performance matter most. ABOUT THE ROLE We're looking for a Member of Technical Staff to help build the speech and language models behind Salient's production voice agents. You'll work on challenging problems in speech and language modeling. Many of these problems look solved in academic benchmarks, but remain deeply unsolved in real-world production. This is a high-ownership role on a small, elite team. You'll own core parts of the system end to end, and everything you do will have direct revenue impact. WHAT YOU'LL DO - Build and improve production speech models and systems with the ultimate goal of improving real-time conversational quality. - Post-train LLMs for voice agents used for consumer finance. - Develop evals, harnesses, and monitoring systems. - Work across models, data, infrastructure, and product to improve end-to-end

AI Specialist til Bunzl Distribution Danmark Til denne nyoprettede stilling, der byder på både drift, udvikling og nytænkning, søger vi dig, der brænder for at understøtte både kundeoplevelsen og skabe forbedringer internt ved hjælp af AI. Bunzl Distribution Danmark A/S har 80 ansatte og er totalleverandør af emballage og forbrugsvarer, personlige værnemidler, butiksudstyr, maskiner og teknisk service til den danske dagligvarehandel, fødevareproducerende virksomheder, samt industri og håndværk. Arbejdsopgaver I rollen som vores forretningsnære AI Specialist, omsætter du generativ AI til konkrete forbedringer i hverdagen for både kunder og medarbejdere. Du arbejder hands-on med medarbejdere på tværs af hele organisationen bestående af salg, kundeservice, indkøb, teknisk service og administration, og fungerer som bindeled mellem forretning og IT. Dine vigtigste ansvarsområder vil inkludere: - Identificere manuelle, gentagne og videnstunge opgaver - Forbedre kundeoplevelse og arbejdsgange med Copilot, chatbots, AI‑agenter og automation - Træne teams i praktisk brug af AI - ”sådan bruger du det i din hverdag” - Udvikle simple guidelines, prompts og best practices - Sikre og understøtte strategisk retning og governance inden for AI Kvalifikationer Vi lægger vægt på, at du har følgende kvalifikationer: - Praktisk erfaring med Generativ AI, så som Copilot, ChatGPT og andre AI‑agenter - Solid forståelse for forretningsprocesser - Erfaring med at drive forandring, adoption og brugertræning - Kan kommunikere på alle niveauer i organisationen - Behersker både dansk og engelsk på skrift og tale Det er en fordel, hvis du er en selvstændig og initiativrig person, som gerne kommer med idéer og forslag til processer