Staff AI Engineer

TIFIN • Boulder, CO

2d • $190,000 - $225,000

About The Position

As we scale our AI platform, we are building production-grade multi-agent systems that power advisor copilots, investment intelligence workflows, and autonomous research capabilities. We are seeking a Staff AI Engineer to architect, build, and operationalize these systems at scale. This is a hands-on, high-impact engineering role focused on shipping reliable, enterprise-ready agentic AI systems into production.

Requirements

• 3+ years of experience building and shipping Generative AI and LLM applications into production, 6+ years of ML experience.
• Demonstrated experience designing and deploying multi-agent systems of various architecture
• Strong experience with multimodal LLMs, knowledge graph, data synthesis, LLM fine tuning, reinforcement learning, agent harness, agent memory
• Deep proficiency in Python and modern AI frameworks
• Experience with distributed systems, cloud infrastructure (AWS/GCP/Azure), and containerized deployments
• Experience implementing monitoring, evaluation, and reliability safeguards for AI systems
• Strong systems thinking — ability to design beyond single-model solutions toward coordinated, multi-component architectures

Nice To Haves

• Resilience and adaptability - experience working at early-stage startups is a plus

Responsibilities

• Design and implement production-grade multi-agent systems using modern agent frameworks (e.g., Pydantic AI, Agent Harness, Tool-Calling, Code Execution)
• Build agent workflows that integrate context retrieval, reasoning, tool execution, validation, and compliance checks
• Develop distributed services for agent execution with strong observability, monitoring, and failure handling
• Establish evaluation frameworks for multi-step reasoning accuracy, groundedness, hallucination mitigation, and financial correctness
• Implement memory management, context handling, and agent state persistence strategies
• Partner with product, design, and engineering teams to translate business requirements into robust agent architectures
• Optimize systems for latency, cost efficiency, and reliability in production
• Contribute to infrastructure decisions around model serving, vector databases, caching, and orchestration layers

Benefits

• Comprehensive health, dental and vision coverage
• retirement benefits
• flexible PTO

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed