Stacklok is seeking a Staff Software Engineer to architect the future of their Applied AI platform, focusing on designing and developing advanced AI agents that transform conversational interfaces into autonomous systems capable of taking real-world action, integrating them deeply with organizational tools and data to provide knowledge workers with powerful new capabilities.
Requirements
- 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.
Responsibilities
- 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.
- Champion AI-First Engineering: Use AI tools and workflows to streamline development, inform decisions, and accelerate innovation in how software is built and delivered.
Other
- 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.
- 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.
- This is a hybrid role that requires in-person work three days a week: Tuesday, Wednesday, and Thursday.
- Stacklok Inc, is proud to be an equal opportunity employer. We are committed to providing equal employment opportunities for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.
