AI Engineering Jobs

We're looking for experienced generalist engineers to help build the core infrastructure of our agent platform. You'll work on designing and implementing scalable systems for agent deployment, monitoring, and management.

You'll collaborate with a small team of talented engineers to solve complex problems in distributed systems, real-time monitoring, and AI integration. We value engineers who can work across the stack and have a passion for the technologies we use.

The AI Engineer community is growing fast. Really fast. 400% in two years. 10,000+ attendees projected by 2030. Vendor-neutral, globally recognised, and just getting started.

To keep that trajectory, we need a world-class Growth Marketing Manager — someone who lives and breathes digital channels, knows how to turn speaker announcements into ticket sales, and treats a marketing calendar like a competitive sport.

This is a full-stack marketing role. Campaigns. LinkedIn. YouTube. Newsletters. Speaker amplification. Sponsor materials. The whole thing — for the most exciting audience in tech.

You're the right person if: You've marketed to developers or technical communities before. You obsess over what actually converts, not just what looks good. You can juggle platforms, partners, and deadlines without breaking a sweat. AI tools are already part of how you work, not a nice-to-have.

Requirements: 6+ years in marketing. Tech, events, and developer ecosystems. Startup experience a must. This is HARD work. Real ownership. Real impact. Remote-first (USA).

We're hiring a passionate, driven, AI-obsessed Community Manager at AI Engineer! 400% growth in two years. 10,000+ attendees projected by 2030. The biggest vendor-neutral event in AI.

You'll be building the whole thing — global meetup programs, ambassador network, education hub, associate program, 360 community support — as well as strengthening our large-scale events with community-first activations. And you'll be doing it for an audience of the most talented AI engineers on the planet.

You'll thrive here if you: Use AI tools every day. Know the difference between building an audience and building a community. Can run 10 projects at once without dropping anything. Get genuinely excited about making developers feel like they belong somewhere.

Requirements: 5+ years in community, events, and developer programs. Remote-first (USA). Real ownership, real reward, and real impact.

Airbyte is the open-source standard for data movement, now building frontier agentic data infrastructure purpose-built for AI agents. Work primarily in Python across CDKs, Connector Builder ecosystem, automation frameworks, and AI-driven operational tooling.

Build systems that use AI to detect, diagnose, and remediate connector failures. Drive initiatives focused on self-healing infrastructure, intelligent retries, and automated compatibility fixes.

The Amazon AGI SF Lab is developing foundational capabilities for useful AI agents that can take actions in the digital and physical worlds. Work closely with research teams to design, build, and maintain systems for training and evaluating state-of-the-art agent models.

Develop training infrastructure for large-scale reinforcement learning on LLMs, work across the entire technology stack, and conduct MLSys research. Requires PhD or Master's with 3+ years of applied research experience.

Amazon has launched a new research lab in San Francisco to develop foundational capabilities for useful AI agents. Lead efforts to improve the multi-modal perception and reasoning abilities of AI agents in an applied research role.

Responsibilities include model training, dataset design, and pre- and post-training optimization. Requires 5+ years building ML models, PhD or Master's in CS, and experience with deep learning tools like PyTorch and JAX.

The Amazon AGI Autonomy Lab is focused on developing foundational capabilities for useful AI agents. Build and lead a team advancing Amazon Nova, our state-of-the-art foundation model, bridging research with real-world impact.

Requires 2+ years leading AI/ML research teams with 5+ direct reports, advanced proficiency in Python and ML frameworks, and hands-on experience scaling foundational models.

Ampersand is hiring our first Founding Marketer — someone who’s equal parts technical tinkerer, empathetic storyteller, and relentless shipper. You’ll work directly with our founding team to help 1000x our usage chart and bring Ampersand to every AI developer building customer-facing products.

We’re building the integration platform for an agentic world: real-time, enterprise-grade sync infrastructure that lets AI developers connect to customer systems like Salesforce, DealCloud, or Snowflake — without becoming an integration company.

If you’re a product-minded generalist who enjoys hopping across the stack, a dev tools enthusiast that loves talking to customers, and a builder who ships quality code quickly, this is the role for you. In return, you’ll get outsized scope, a front-row seat to shaping the connectivity layer for AI, and meaningful equity at the ground floor.

If you’re an AI enthusiast who loves playing with cutting-edge tech, a product-minded generalist who enjoys hopping across the stack, and a builder who ships quality code quickly this is the role for you. In return, you’ll get outsized scope, a front-row seat to shaping the connectivity layer for AI, and meaningful equity at the ground floor.

Atlassian is building AI for how teams work together. Sign up to get on the Talent team's radar and be the first to know about roles that match your background.

We’re looking for an Applied AI Engineer to help bring cutting-edge AI capabilities into the hands of developers. This is a hands-on engineering role at the intersection of product, AI, and systems — focused on implementing and integrating LLM-powered features that enhance developer experience and productivity.

You’ll collaborate with engineers, researchers, and designers to translate product needs into intuitive, reliable AI-powered experiences. You’ll also play a key role in shaping how AI is used across our stack — from prompt design to system integration — while staying up to date on emerging AI capabilities.

Shape how AI transforms products used by hundreds of millions of people across the planet, from helping creators tell better stories to empowering merchants to compete effectively. Whether you're working in-person in NYC or distributed globally, you'll have the autonomy to focus on high-impact work.

Ship user-facing AI features across Automattic's product ecosystem including WordPress.com, WooCommerce, Jetpack, Beeper, and Pocket Casts. Production experience with LLMs at meaningful scale and strong full-stack development (PHP, TypeScript, React) are valued.

As a Machine Learning Engineer specializing in Fine-Tuning at Baseten, you'll create exceptional value for customers by leveraging our world-class infrastructure to fine-tune large language models and/or other modalities, working directly with customers to achieve their specific goals. You'll build scalable pipelines, implement parameter-efficient techniques, and ensure a seamless transition to inference. This customer-facing role requires both technical expertise in foundation model adaptation and the ability to translate customer needs into effective solutions. You'll also help shape our product roadmap by identifying common patterns in customer requirements and working with product teams to develop reusable components and features , reducing the need for custom services and streamlining the fine-tuning process for everyone.

Help shape AI governance for developer tooling at Coder. You'll work on the AI Governance team building two enterprise-grade components: AI Gateway, a centralized LLM gateway providing audit trails, token tracking, and cost control; and Agent Firewall, which wraps coding agents with default-deny network policies.

This team works across the full stack — from Go backend and React frontend to integrating with LLM provider APIs. You'll ship features, harden security boundaries, and collaborate with enterprise customers on real-world policy needs.

As the Platform Engineering Lead at Coder, you will lead architectural and technical decisions related to platform engineering and internal DevOps. You'll be the founding member of a new team dedicated to platform engineering, getting hands-on while setting standards and upgrading existing infrastructure.

You'll be directly responsible for maturing Coder's self-hosted deployable artifacts including reference architecture, Helm charts, and Terraform providers.

Crusoe is the only vertically integrated AI infrastructure company built from the ground up, owning and operating each layer of the stack from electrons to tokens. We're looking for a Senior Staff Software Engineer to build a comprehensive managed platform for the entire AI model lifecycle, with a focus on leveraging Machine Learning models including LLMs.

You'll manage fine-tuning systems for large foundation models (SFT, PEFT, LoRA, adapters), implement end-to-end training pipelines, and work on distillation and reinforcement learning pipelines. Requires 8+ years of experience and hands-on expertise training, fine-tuning, and aligning LLMs.

DruidAI is an agentic AI scale-up helping organizations move beyond AI experiments to production-ready AI agents that automate real business processes across healthcare, higher education, retail, banking, insurance, and employee-facing workflows.

Join the global go-to-market team as the first point of contact for prospective customers — identifying, engaging, and qualifying inbound and outbound opportunities to build pipeline and contribute directly to revenue growth.

Druid AI is investing heavily in real-time voice — ASR, TTS, and the inference infrastructure that makes them fast enough for live calls. Own this domain end-to-end: model selection, fine-tuning, evaluation, optimization, and production deployment.

This is an applied engineering role with research bursts (roughly 80/20). You'll be a senior individual contributor with significant ownership helping shape the speech team.

Help colleges and universities transform student engagement with conversational AI and intelligent automation. As a Solutions Consultant, you'll help Higher Education prospects envision what's possible with AI-driven student, faculty, and staff experiences on the Druid platform.

Druid AI is an end-to-end platform for building, deploying, and scaling AI agents and Conversational Business Applications. Join as a proactive Support Engineer working closely with technical teams on escalation issues to ensure an excellent support experience for both internal and external clients.

Lead the end-to-end configuration and implementation of conversational AI solutions on the DRUID platform, ensuring successful project delivery and a seamless client experience. DruidAI has hundreds of enterprise customers and recognition in the Gartner Magic Quadrant for Conversational AI Platforms.

Responsible for the implementation and activation of DRUID AI agents within client organizations, while building and nurturing strong relationships with both clients and portfolio partners.

ElevenLabs is at the forefront of AI audio and voice technology, having launched in January 2023. With over 1 million users globally and partnerships with leading names in tech, we've recently closed a Series C funding round at a $3.3B valuation. Our mission is to make content universally accessible in any language and voice.

We're seeking a Developer Advocate based in the San Francisco Bay Area to enhance our developer experience. This role involves improving documentation, creating example projects, and engaging with the developer community through content creation and events.

Greptile is an AI code reviewer that catches bugs and anti-patterns in pull requests with complete context of the codebase. Hundreds of top software companies use Greptile to merge PRs faster and prevent bugs.

Solve some of our hardest and most interesting problems, including LLM memory, multi-language codebase indexing, semantic search for large codebases, and much more.

We are hiring several phenomenal Full Stack TypeScript Developers with experience writing high-quality TypeScript code and additional knowledge of cloud deployment like serverless architectures (Cloudflare/AWS/Azure). In this role, you will contribute to the development and enhancement of our platform, ensuring seamless integration and optimal performance.

Work on some of the hardest problems in applied AI alongside customers. This is not demos or research — you'll help teams build systems they rely on in production. Co-architect and co-build production AI agents with customer engineering teams, own the technical win in pre-sales, and advise customers on architecture and best practices.

Requires 3+ years in a relevant technical role, strong Python/JavaScript fundamentals, and experience designing agent-based or LLM-powered applications beyond simple API calls. This role requires 40% travel to customer sites.

We're seeking an AI Engineer, Customer Facing to serve as a technical advisor and implementation partner for our customers. In this role, you'll bridge the gap between our AI platform capabilities and enterprise business needs, architecting and deploying solutions that deliver measurable value.

As Meticulous's first Forward Deployed Engineer in San Francisco, you'll establish the US FDE presence and help define how the function operates from the ground up. Work directly with engineering leaders at the world's most AI-driven companies, understanding their unique architectures and crafting solutions for their specific needs.

Meticulous is building the last piece of the puzzle to help companies unlock AI code generation — the part that makes it actually safe to ship. Backed by investors behind Twilio, Twitch, Intercom, and PagerDuty, with customers including Notion, ElevenLabs, Dropbox, Discord, and more.

We are looking for strong engineers with experience in making ML systems performant at scale. If you are interested in contributing to open-source projects and Modal's container runtime to push language and diffusion models towards higher throughput and lower latency, we'd love to hear from you!

We are looking for strong engineers with experience and interest in designing, building, and maintaining the novel, high-performance systems that make up our serverless platform.

Lead the design and optimization of high-performance kernels for large-scale AI inference on GPUs and emerging custom accelerators. You'll own performance-critical paths, drive architectural decisions, and turn complex AI workloads into highly optimized implementations that run efficiently at scale.

Work at the intersection of hardware, compilers, and AI systems. Requires 5+ years in performance-critical systems, strong C/C++ and GPU kernel programming (CUDA, HIP). US or Canada, remote or in-office (Los Altos, CA).

As a Software Engineer focused on Infrastructure, you’ll play a foundational role in building the systems that power Orb’s scale and reliability. We're looking for engineers who thrive in high-leverage environments and want to shape the infrastructure that supports our growing platform.

This is a great opportunity to own core pieces of our infrastructure stack, help scale critical systems, and work cross-functionally with product engineering and GTM teams.

As a Senior Software Engineer, you will play a pivotal role in enhancing the security architecture of our platform. You’ll work closely with cross-functional teams to design, develop, and implement robust security solutions that adhere to the highest industry standards. Your contributions will directly impact the safety and integrity of organizations relying on Pomerium to secure their infrastructure.

Prolific is the architect of the human data infrastructure reshaping AI development. We're looking for impact-focused Software Generalists to join our team serving frontier model creators and enterprise AI application developers.

Work directly with frontier AI companies, making critical technical decisions that balance scrappy startup execution with scalable, reliable engineering. Hybrid based out of San Francisco, approx 1-2 days a week. Salary: $200,000 - $250,000/year.

Qdrant is an open-source vector search engine powering the next generation of AI applications, from semantic search and RAG to AI agents. As a Developer Relations Engineer, you'll be part engineer, part educator, and part community builder, empowering developers to build sophisticated AI applications using Qdrant through high-quality content, demos, and community engagement.

As a Senior Software Engineer on the Cloud Operations team, you'll work at the intersection of platform engineering and reliability. You'll design, operate, and evolve the cloud-native infrastructure that underpins Qdrant Cloud, with a strong focus on scalability, stability, and reducing operational load through engineering.

As a Senior Software Engineer on the Cloud Operations team, you'll design, operate, and evolve the cloud-native infrastructure that underpins Qdrant Cloud, combining strong software engineering with infrastructure and systems thinking. Requires 5-7+ years in platform engineering with strong Go and Python proficiency.

As a Staff Software Engineer on the Platform team, you'll design and evolve core platform services and internal APIs that power Qdrant's managed cloud offering. This role focuses on building platform primitives and abstractions, reducing complexity, and driving architectural evolution across the cloud platform.

We're looking for a VP of Engineering to lead and grow our engineering organization post-Series B, scaling from a beloved open-source tool into the definitive vector search platform for enterprise AI. You'll partner with the CEO and leadership team to shape technical direction, build engineering culture, and ship products that developers and enterprises trust.

Lead the end-to-end deployment of Reducto into customer environments, ranging from VPC to bare metal on-prem. Partner directly with enterprise IT, security, and platform teams to deploy, configure, harden, and operate Reducto inside their environments.

Lead end-to-end deployment of Reducto into customer environments with hands-on execution and direct customer exposure. Build monitoring, telemetry, and phone-home patterns, debug infrastructure issues, and codify what works into repeatable deployment patterns and automation.

Build the inference and training frameworks that make it possible to deliver results at scale. Design systems for scaling model training across multi-node, multi-GPU environments with strong reliability and observability. Explore SOTA advances in training and inference and work to apply them.

Train and deploy state-of-the-art models for parsing and interpreting unstructured data. Experiment with novel techniques to improve LLM accuracy, build data pipelines, evaluate model performance, and work directly with the founders and customers to shape product direction.

Work on features used by customers to design, build, test, and evaluate business-critical document workflows. Build interactive document viewers, data extraction workflows, and delightful experiences using Next.js, Tailwind, and Convex.

Work on Reducto's core API powering document parsing for hundreds of companies. Integrate cutting-edge LLMs, optimize document processing pipelines, and build the platform and infrastructure that makes state-of-the-art document understanding accessible at scale.

Our raison d'etre is safely running untrusted code for our customers. There's no better language to do that than Rust. We're built on top of open source foundations (wasmtime, Deno, and Firecracker) with plenty of proprietary bits to make code execution safe.

We're looking to add another Rust expert to our team to help us quickly respond to customer feedback and improve our already lightning-fast performance.

As a Senior Software Engineer on Sentry's AI/ML team, you'll be directly responsible for developing the platform used by our debugging agents. This role is crucial; you will be at the forefront of integrating AI and machine learning into our core products, from issue triage and resolution to predictive analytics for application performance monitoring.

You'll build state-of-the-art agentic AI platforms to triage, debug, and solve real production issues, leveraging Sentry's novel (and massive) dataset of errors, spans, and profiles. You'll own the development of major initiatives in the AI/ML space and work alongside developers and product teams in a high-stakes, high-visibility environment.

Location: San Francisco, CA (Hybrid - in-office Mondays, Tuesdays, and Thursdays)

Salary: $150,000 - $190,000 per year

Qualifications: Minimum 5+ years of professional experience with Bachelor's degree in computer science, machine learning, or a related field. Demonstrated expertise building production-grade agentic systems and tools. Comfortable writing production quality code (we use Python and Typescript). Familiarity with deep learning frameworks (we use PyTorch) and deploying machine learning models at scale in production environments.

As a Staff Machine Learning Engineer on Sentry's AI/ML team, you'll be directly responsible for developing the models and agents used to make our product smarter and more capable. Build state-of-the-art agentic AI systems to triage, debug, and solve real production issues, leveraging Sentry's novel (and massive) dataset of errors, spans, and profiles.

Sit within Platform Engineering and own the AI-assisted coding domain, working across all of engineering at Sentry. Focus on how AI coding agents participate in the software development lifecycle — audit internal systems, expose them programmatically, and build connections that let tools like Claude Code operate end-to-end.

Build the harness tooling, context systems, and feedback loops that help agents generate high-quality, repository-aware pull requests. Automate high-volume engineering work: security dependency upgrades, minor bug fixes, and routine maintenance.

Design and deliver production-grade AI agents: You'll build and ship highly performant, reliable, and intuitive AI agents that are central, mission-critical and drive revenue directly to Sierra's growth. These aren't prototypes—they are powerful, scalable systems running in production environments across industries like finance, healthcare, and commerce.

Drive the Agent Development Life Cycle (ADLC): You'll have complete ownership and autonomy from initial pilot through deployment and continuous iteration. You'll be responsible for building, tuning, and evolving AI agents in production environments, defining the standard for ADLC best practices along the way.

Partner with large enterprises and cutting-edge startups: You'll work directly with leaders at some of the world's largest enterprises to understand their most pressing business challenges, and build AI agents that transform how they operate at scale. You'll also partner with the most cutting-edge startups in Silicon Valley, embedding AI agents across their entire business stack to drive innovation and efficiency.

Build the future of the platform: Your direct work with customers will guide the evolution of Sierra's core platform. You'll surface unmet needs, prototype new tools and features, and collaborate with research, product, and platform to shape the future of AI agent development and Sierra's product.

tambo-ai is a React package for adding generative React components into your UX. Shape how devs integrate genUX into their apps. Power next-gen intelligent interfaces used by thousands of developers.

The Staff Developer Advocate at Temporal Technologies will be the voice and face of our developer community in the AI space in the Bay Area. This role involves producing high-quality technical content, engaging with developers, and gathering feedback for product development. The successful candidate will drive developer engagement and contribute to the growth of our open-source community.

Join Tessl's engineering team to build real-time AI Native workflows, tooling, and interfaces that will reshape how developers create and maintain software. You'll collaborate closely with product, design, and the wider Engineering team to bring AI Native development to life in a fast-paced, high-trust environment.

Requires 5+ years as a Software Engineer with proven experience leveraging AI coding tools and agents. Office in Kings Cross, London (3 days/week in-office).

We’re looking for a Product Marketing Manager who can take the complex world of LLM observability and make it simple, engaging, and compelling. You'll be responsible for shaping our positioning, launching new features, enabling sales, and crafting messaging that resonates with developers, product teams, and AI leaders alike.

This is a unique opportunity to join a small but mighty team that's already working with some of the world’s leading AI teams—from startups to enterprises—on one of the fastest-growing areas in AI infrastructure.

We're looking for a high performance ML-focused software engineer to join us on our mission to build AI superpowers for developers. We serve one of the largest scale and most demanding LLM applications in the world.

Develop custom LLM serving systems and corresponding datacenter infrastructure to deliver high model quality at very low latency and cost. Improve our LLM training software both in terms of model architecture changes that improve model quality or increase iteration speed and reliability. Build indexing systems capable of serving queries instantly from many terabytes of data within customer deployments. Contribute to infrastructure for petabyte-scale data pipelines to accelerate our ML research work.

We're looking for an ML research-focused software engineer to join us on our mission to build AI superpowers for developers.

Train and fine-tune large language models. Navigate high levels of uncertainty and prioritize high-value ML experiments to maximize product impact. Demonstrate initiative and the ability to start and make progress on projects independently. Swiftly design, track, and analyze experiments results. Meticulously document findings, conduct ablation studies, and synthesize data into actionable insights. Participate in the ML reading group and level up the team's knowledge of LLM training and infrastructure.

We're looking for software engineers to join us on our mission to build AI superpowers for developers.

We're hiring Software Engineers across all levels. Minimum 2+ years of Software Engineering experience is required. Bachelors / Masters degree in computer science, mathematics or physics. Ideally attendance at a top university, or participation in programming contests.

We're building an Applied AI team to dramatically increase productivity across Engineering, Sales, Support, and Operations as well as build out external AI functionality for our customers.

As an Applied AI Engineer, you'll design and ship production AI systems that change how WorkOS builds, sells, and supports software. You'll work on a small, high-ownership team that chooses problems based on measurable impact and moves from idea to prototype to production in days or weeks.

We're looking for an events-forward DevRel leader who thrives in the room: organizing meetups, building community, representing WorkOS publicly, and creating technical content that drives real engagement.

You'll own and scale WorkOS's developer events strategy, represent WorkOS as a public-facing technical voice, and build relationships with developer communities and influencers across the ecosystem.

This role requires a strong background in solution architecture, AI agent design, and enterprise systems integration. You’ll own key customer-facing initiatives and partner with top-tier clients to design, build, and deploy robust AI Agent architectures powered by [xpander.ai](http://xpander.ai/).

You’ll work closely with engineering, product, and customer teams to shape the future of enterprise-grade AI Agents—from early proof of concept to scaled deployment.

Expect to get your hands dirty, own technical conversations, and work side-by-side with developers, from our platform and on the client side. This is a highly strategic role, blending architecture, product thinking, and deep technical execution.

Zed is a next-generation code editor that's engineered from scratch in Rust to be fast, elegant, and collaborative. As we expand our AI capabilities, we're looking for engineers with deep, hands-on experience working with large language models to own and shape our AI experience.

Your role will be to drive Zed's AI strategy through model evaluation, fine-tuning, and data collection. You'll work alongside our engineering team to bring AI features from concept to production, while elevating the team's understanding of language model capabilities and best practices. Your expertise will be crucial in determining how we can best leverage AI to enhance the coding experience.

This role offers a unique opportunity to apply deep language model experience in a product focused on transforming how developers work. At Zed, you'll have the support of a team that excels at building world-class user interfaces for code, allowing you to push the boundaries of AI-assisted development.