Stacklok-posted 6 months ago
Full-time • Senior
Bellevue, WA
11-50 employees

Stacklok is seeking a Staff Software Engineer to architect the future of our Applied AI platform. You’ll lead the design and development of advanced AI agents that transform conversational interfaces into autonomous systems capable of taking real-world action. Operating at the intersection of LLMs, secure infrastructure, and enterprise systems, you'll turn AI’s theoretical promise into production-ready solutions. These agents will integrate deeply with organizational tools and data, giving knowledge workers powerful new capabilities. As a Staff Engineer, you’ll shape technical strategy, design scalable architectures, and contribute hands-on across the stack. You’ll mentor engineers, drive technical excellence across teams, and help define the best practices that position us at the forefront of enterprise AI.

  • Design and Ship AI Agents: Build production-grade agentic solutions that solve complex business problems across multiple industries, owning the full lifecycle from architecture to deployment and optimization.
  • Lead Discovery and Solution Design: Run technical discovery with customers and stakeholders to uncover automation opportunities, translate needs into technical specs, and prototype innovative agent workflows.
  • Define Architecture and Standards: Set architectural direction and lead code reviews for AI systems. Establish scalable, reliable, and maintainable design patterns and development standards.
  • Integrate AI Through Collaboration: Work closely with AI Research and Product teams to evaluate and embed advanced models and techniques into real-world applications, balancing innovation with production readiness.
  • Drive Continuous Agent Improvement: Build and operate observability systems that surface performance metrics, user behaviors, and system dynamics to enhance reliability and effectiveness over time.
  • Mentor and Grow Engineering Talent: Foster a culture of ownership, safety, and learning where peers feel empowered to take initiative and continuously develop their craft.
  • Champion AI-First Engineering: Use AI tools and workflows to streamline development, inform decisions, and accelerate innovation in how software is built and delivered.
  • Advanced Python Expertise: Must have advanced Python skills, including async programming, performance optimization, and a strong understanding of AI/ML library internals. Should be comfortable with prompt engineering.
  • Evaluation Systems Design: Expertise in building comprehensive evaluation suites, including automated testing, human-in-the-loop evaluation, and regression detection.
  • Agent Framework Fluency: Deep expertise in production-grade agent orchestration frameworks such as LangGraph, LangChain, CrewAI, AutoGen, Semantic Kernel, Haystack, or comparable architectures.
  • Multi-Agent System Design: Ability to design complex systems where specialized agents collaborate through message-passing and coordination patterns.
  • Production RAG Infrastructure: Deep expertise in vector databases, embedding strategies, retrieval optimization, and RAG pipeline design. Must balance accuracy, latency, and cost in enterprise deployments.
  • Distributed Systems Architecture: Experience designing scalable, fault-tolerant agent systems using microservices, event-driven patterns, and proper state management.
  • Cloud-Native Deployment (Kubernetes/Cloud Platforms): Expertise in containerization, orchestration, and multi-cloud deployment strategies. Must design for high availability, auto-scaling, and efficient resource utilization.
  • AI Observability and Monitoring: Experience designing comprehensive monitoring for non-deterministic systems, including LangSmith and Langfuse integration. Must track both technical metrics and business outcomes effectively.
  • Security and Privacy: Awareness of enterprise security and compliance, including experience with authentication, authorization, data privacy, and regulatory requirements.
  • OSS Experience: Experience contributing to or maintaining open source software projects, with demonstrated ability to collaborate in distributed development environments.
  • Communication: Excellent communication and collaboration skills, with the ability to work effectively across engineering, product, design, and business teams.
  • Startup Mindset: Self-motivated and hands-on. Thrives in dynamic, fast-changing environments and drives clarity through action.
  • Competitive compensation
  • Equity
  • Comprehensive healthcare
  • Flexible work environment including adaptable work hours and flexible PTO
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