Develop secure, well-tested, and performant features and improvements for GitLab Duo Chat.
Implement and extend agentic flows in Python using LangGraph, the Flow Registry, and the Duo Workflow Service.
Collaborate with Product Management, UX, and Frontend team members to enhance product quality, security, and performance.
GitLab provides an intelligent orchestration platform for DevSecOps, enabling organizations to improve developer productivity, security, and compliance. With over 50 million registered users and trust from more than 50% of the Fortune 100, GitLab fosters a high-performance, values-driven culture where team members collaborate and innovate.
Lead the Agent Tools, Agent Observability, and Runner Execution teams across frontend, backend, and AI engineering.
Partner with product and UX to turn ambiguous problems into shipped milestones and make prioritization tradeoffs explicit.
Contribute substantively to technical design for running agents safely and effectively at scale.
GitLab is the intelligent orchestration platform for DevSecOps, enabling organizations to increase developer productivity and accelerate digital transformation. With over 50 million registered users and more than 50% of the Fortune 100 trusting them, GitLab fosters a high-performance culture driven by values, continuous knowledge exchange, and AI integration.
Lead the design and delivery of agentic-first capabilities within Nexus Repository Manager.
Set technical direction for a major product area and orchestrate fleets of agents across parallel workstreams.
Work on the hardest problems at the intersection of AI, distributed systems, and software supply chain security.
Sonatype is the software supply chain security company, providing end-to-end security solutions that combine proactive protection against malicious open source, enterprise-grade SBOM management, and the leading open source dependency management platform. Over 2,000 organizations, including 70% of the Fortune 100 and 15 million software developers, rely on Sonatype, and the company values diversity, inclusivity, and offers flexible working practices.
Design, build, and maintain agent infrastructure and platforms, including the TRACE Graph, embeddings, and semantic search.
Collaborate with detection engineers and threat hunters to encode domain expertise into agents.
Build automated evaluations and benchmarks for non-deterministic agentic systems.
Nebulock is an agentic threat hunting platform that autonomously surfaces behaviors, not just IOCs, from various data sources. As a startup, we emphasize collaboration, low ego, and a relentless focus on delivering customer value.
Evaluate developer workflow tasks for technical accuracy, realism, solvability, reproducibility, and alignment with reliable testing and evaluation criteria.
Audit AI-assisted development scenarios to identify technical inconsistencies, logic errors, workflow inefficiencies, or issues affecting task quality.
Provide clear, detailed, and actionable feedback that enables improvements to AI training and evaluation tasks.
Design AI agent systems that collaborate with developers in real time.
Build and implement agentic systems for planning, coding, testing, and deployment.
Integrate LLMs and design orchestration layers for scalable AI systems on AWS.
Ubiminds connects Latin American tech professionals with software companies in the US and Canada. The company is GPTW-certified and has been supporting hundreds of professionals for 9 years.
Design and build production AI agent systems that diagnose, investigate, and remediate infrastructure issues across one of the world’s largest GPU fleets.
Build the distributed services, orchestration framework, knowledge graph, and retrieval systems that power infrastructure agents.
Own services end to end, including architecture, implementation, testing, deployment, observability, and production operations.
Together AI is a research-driven artificial intelligence company that builds open and transparent AI systems. The company has contributed to leading open-source research like FlashAttention and RedPajama, and aims to lower the cost of modern AI through co-designed software, hardware, algorithms, and models.
Implement and maintain open source AI integrations, frameworks, and sample applications using Python, TypeScript, Go, and Rust.
Use AI-assisted development tools like Claude Code to accelerate implementation while ensuring correctness and security.
Collaborate with Product and QA to ensure integrations reflect real customer workflows and Backblaze B2 usage patterns.
Backblaze provides reliable, high-availability cloud storage for consumers, SMBs, enterprises, and developers in over 150 countries. They foster a remote-first culture with a focus on collaboration, work-life balance, and an inclusive workplace.
Lead rapid prototyping and technical validation of agentic AI solutions and autonomous workflows.
Evaluate foundation models, agent frameworks, and orchestration technologies for enterprise adoption.
Mentor AI engineers and promote strong engineering practices across teams.
This partner company is hiring for a senior technical leadership role focused on shaping next-generation AI agents and autonomous workflows. They are a collaborative enterprise with a culture centered on experimentation, continuous learning, and innovation, offering a remote opportunity in the US.
Provide technical leadership for designing scalable, AI-integrated software solutions and guiding a distributed team.
Architect robust AI agents and APIs, refine prompt strategies, and decompose complex features into clear tasks.
Mentor developers on AI tool adoption and clean code practices, optimizing DevOps pipelines for efficiency.
Mitratech builds world-class products simplifying operations in Legal, Risk, Compliance, and HR functions. They serve 20,000 client companies globally, including 30% of the Fortune 500, with a diverse and inclusive culture focused on learning and fun.
Build backend services, APIs, data workflows, and AI-enabled applications.
Develop model-agnostic coding agents and LLM workflows with human approval, prompt history, auditability, and controlled tool access.
Enforce architecture, UX, cybersecurity, testing, and deployment standards through automated policies and CI/CD controls.
Rackner builds mission-critical systems for the U.S. government across software engineering, AI/ML, DevSecOps, cloud platforms, and application modernization. They offer competitive benefits and focus on secure, AI-enabled software development.
Build and ship agentic features for thousands of developers, including orchestration, tool execution, and context management.
Design and implement the foundation for advanced AI agents that handle billions of dollars in purchase volume.
Collaborate with product and engineering teams to scope, prioritize, and drive rollout of new features.
RevenueCat provides infrastructure and tools for app businesses to manage subscriptions and monetization. They are a remote-first team of 150+ people across 25+ countries, guided by values like Customer Obsession, Always Be Shipping, Own It, and Balance.
Extend our provider-agnostic architecture as models and capabilities change.
Coder is the leading platform for AI development infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance.
Design, build, and operate production-grade agentic systems for developers.
Develop core agent infrastructure including orchestration, tool execution, and evaluation.
Own projects end to end from opportunity identification to launch and iteration.
Our partner is a fast-growing Series C technology company that builds AI-powered developer tools. The organization is fully remote with an autonomous culture focused on engineering ownership and collaboration.
Develop and evaluate AI training data for LLM and AI agent platforms.
Create coding tasks and write reference-quality solutions for evaluation.
Critically assess AI-generated code for correctness, security, and maintainability.
Toloka is a leading expert human data platform for AI agents and LLMs, providing high-quality training data. The company focuses on improving AI models through human feedback and structured evaluation.
Design and build secure, performant external agent integrations across the GitLab monolith backend, owning complex features end-to-end.
Collaborate with Product Management, UX, frontend, backend, and AI specialists to refine requirements and deliver iterative improvements.
Design, implement, and review GraphQL and REST APIs, enhance automated testing, and participate in Tier 2 on-call rotations for production reliability.
GitLab is the intelligent orchestration platform for DevSecOps, enabling organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. With more than 50 million registered users and trust from over 50% of the Fortune 100, GitLab fosters a high-performance, remote-first culture driven by values, AI integration, and continuous knowledge exchange.
Design and build reusable agentic infrastructure, including memory, context management, tool-calling, orchestration, and feedback loops.
Establish evaluation and observability frameworks to understand agent performance and ensure reliable production systems.
Drive operational automation by bridging complex workflows with engineering and influencing architectural patterns.
Dwelly builds an AI operating system for residential lettings, automating workflows for landlords and tenants. Managing over 15,000 properties and $470M GMV, it's a fast-growing, product-focused team backed by $263M.
Build the agent execution runtime: Design and ship the layer that compiles a brief into a running team of agents.
Design the tool surface agents work through: Replace "here is a shell, please be careful" with typed, versioned toolpacks.
Make quality measurable, then improve it: Build the evals, benchmarks, and metric sets that score a run.
Ditto is redefining how data moves at the edge by providing a peer-to-peer sync engine for developers to build resilient, real-time applications without internet. With over $145 million in funding and trusted by organizations like Chick-fil-A and Delta Airlines, we are a globally distributed startup committed to building a diverse and inclusive team.
Build out the Agentic Platform as a product for internal teams, creating paved paths with sane defaults.
Design, build, and operate internal MCP servers, plus the standards, scaffolding, and registry for them.
Serve as technical lead for retrieval-augmented generation, including ingestion, chunking, embedding, and retrieval quality measurement.
Porch Group is a leading vertical software and insurance platform that helps homebuyers move, maintain, and protect their homes. The company has approximately 30 thousand business relationships, went public in 2020, and is building a global team across the US, Mexico, and India.
Build and ship fullstack product features across candidate and recruiter experiences, from API and data model design to frontend implementation.
Improve real-time AI-powered experiences using model orchestration, streaming UX, and tool/function-calling patterns.
Partner across product, design, and platform teams to take ambiguous problems from definition to production rollout.
CoderPad builds the future of technical interviewing and assessment with a remote-first culture across Latin America. The company emphasizes AI-assisted development and small, reviewable changes with high-quality code review.