Stacklok-posted 5 months ago
$199,500 - $252,000/Yr
Full-time • Mid Level
Bellevue, WA
11-50 employees

At Stacklok, we’re an AI-first company led by Kubernetes co-founder Craig McLuckie, helping enterprise developers connect the data, systems, and services that power their businesses today with the agentic and assistive AI systems they’re building for tomorrow. We believe the shift from applications to agents is the next major evolution in software, and we’re building the foundation that helps teams make that leap with confidence. Our open source platform, ToolHive, provides developers with a powerful yet simple way to securely connect AI systems to real-world environments, delivering the right context at the right time. It solves tough challenges like security, access control, and observability without adding friction to the developer experience. By using open protocols like MCP (Model Context Protocol) and a highly pluggable architecture, supported by a community first development approach, ToolHive allows enterprises to run AI agents safely behind firewalls, with full control over data flow, context, and decision-making.

  • Build and Optimize AI Agents: Develop production-quality AI agents and tools that solve specific business problems, focusing on reliability, performance, and user experience.
  • Implement Agent Orchestration: Work with frameworks like LangGraph, LangChain, or CrewAI to build robust agent workflows, handling complex multi-step processes and integrations with external systems.
  • Develop RAG Solutions: Build and maintain retrieval-augmented generation pipelines, including vector database integration, embedding optimization, and retrieval strategy implementation.
  • Collaborate on Technical Discovery: Partner with product managers and senior engineers to understand customer needs, prototype solutions, and validate technical approaches for new agent capabilities.
  • Ensure Production Quality: Implement comprehensive testing, monitoring, and error handling for AI systems. Contribute to deployment processes and operational excellence practices.
  • Share Knowledge and Mentor: Guide junior engineers in AI agent development practices, code review best practices, and technical problem-solving approaches.
  • Drive Technical Innovation: Evaluate new AI tools, frameworks, and techniques to improve development velocity and solution quality.
  • Champion AI-First Engineering: Use AI tools and workflows to streamline development, inform decisions, and accelerate innovation in how software is built and delivered.
  • Strong Python Proficiency: Solid Python skills including async programming, testing practices, and familiarity with AI/ML libraries like OpenAI SDK, Anthropic SDK, or similar.
  • Agent Framework Experience: Hands-on experience with at least one major agent orchestration framework (LangGraph, LangChain, CrewAI, AutoGen) and understanding of agent workflow patterns and best practices.
  • RAG Implementation Skills: Experience building retrieval-augmented generation systems, including vector database usage (Pinecone, Weaviate, Chroma), embedding strategies, and optimizing retrieval accuracy.
  • MCP Server Development: Experience building Model Context Protocol (MCP) servers or similar agent integration patterns.
  • Distributed Systems Architecture: Experience designing scalable, fault-tolerant agent systems using microservices, event-driven patterns, and proper state management.
  • Cloud and Deployment: Proficiency with containerization (Docker) and cloud platforms (AWS, GCP, Azure).
  • Testing and Evaluation: Experience implementing testing strategies for AI systems, including unit testing, integration testing, and basic evaluation metrics for model performance.
  • System Integration: Ability to integrate AI agents with databases, APIs, and enterprise systems.
  • Communication Skills: Strong written and verbal communication skills, with ability to explain technical concepts to both technical and non-technical stakeholders.
  • Collaborative Mindset: Proven ability to work effectively in cross-functional teams, contribute to code reviews, and participate in technical discussions and planning sessions.
  • Continuous Learning: Demonstrated interest in staying current with rapidly evolving AI technologies and frameworks.
  • OSS Experience: Experience contributing to or maintaining open source software projects.
  • Startup Mindset: Self-motivated and hands-on. Thrives in dynamic, fast-changing environments.
  • Competitive compensation
  • Equity
  • Comprehensive healthcare
  • Flexible work environment including adaptable work hours and flexible PTO
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