Key skills
PythonAIMLLLMLangGraph
About this role
Role Overview
- Design and build single and multi-agent systems with planning, memory, and tool use
- Build and operate MCP servers with secure schemas and permissions
- Develop agentic workflows using LangGraph or equivalent frameworks
- Integrate LLMs via SDKs; manage prompts, structured outputs, and tool calling
- Define and run LLM evaluations for quality, correctness, latency, cost, and regressions
- Build observability and reliability infrastructure: logging, tracing, retries, state management
- Optimize performance and cost from prototype to production
- Mentor engineers and establish agentic best practices
Requirements
- 5+ years software engineering; 2+ years building production AI/ML systems
- Hands-on experience with agentic architectures and tool calling
- Practical experience with MCP servers
- Experience with LangGraph or equivalent agentic frameworks
- Experience designing and operating LLM evaluation pipelines
- Strong Python and API design skills
- Familiarity with RAG pipelines, vector databases, and embedding-based retrieval
Tech Stack
- Python
Benefits
- Compensation & Equity – competitive package aligned with growth, performance, and merit
- Career Growth Opportunities – be part of a rapidly expanding, global technology company with room to grow professionally
- Paid Time Off
- 21 vacation days + 7 sick days + 8 observed U.S. company holidays
- Health Coverage
- 100% employer-paid options (medical, dental & vision) for you and your dependents
- FSA / HSA Options
- depending on selected health insurance plan
- Parental Leave
- thoughtful policy to support your family needs
- Wellness Programs
- OneMedical, Teladoc, Talkspace, and EAP
- Career Growth
- opportunities in a rapidly expanding, global technology company with personalized professional development
- Pre-tax Commuter Benefits