IMPORTANT – PLEASE READ BEFORE APPLYING

Please apply only if you meet BOTH requirements:

• You are a U.S. Citizen
• You are currently located in, or willing to relocate to, Chicago/Austin and can work in a hybrid model

Candidates who do not meet these requirements will not be considered.

Our client is a software-focused Venture Capital firm that operates at the intersection of capital and code. We don't just invest in AI; we build the core autonomous systems that define how the fund and its ecosystem operate. You will join a centralized, elite engineering team—not a rotating studio. You are the architect of the fund’s internal AI platforms, moving from whiteboard concepts to production-scale autonomous agents that reason, plan, and execute.

• High-Leverage Build: You aren't building CRUD apps. You are building agentic workflows and knowledge retrieval systems that serve as the "brain" of a multi-billion dollar investment engine.
• No Client Rotation: Unlike a venture studio, you own the long-term roadmap. You build, iterate, and scale products that stay within the firm.
• Founder Upside: You work directly with investors and founders, with the opportunity to take leadership or Founding Engineer roles as internal products spin out.

We aren't looking for "prompt engineers"—we need Systems Architects who can build the infrastructure that makes AI reliable. You should have a proven track record of shipping complex backend systems and a deep intuition for modern AI design:

• Agentic Orchestration & Planning: You’ve moved beyond basic chat. You have experience building tool-using agents and reasoning loops using frameworks like LangChain, AutoGen, or custom state-machines.
• Production-Grade RAG: You know that simple retrieval isn't enough. You’ve built high-performance retrieval pipelines using Vector Databases (Pinecone, Weaviate, FAISS, pgvector, etc.) and understand chunking, indexing, and grounding.
• The "Reliability" Stack: AI is non-deterministic; your code shouldn't be. You have experience building Evaluation & Observability frameworks to track traces, failure modes, and system accuracy.
• Durable Workflows: Mastery of multi-step reasoning systems, including the "un-sexy" but vital parts: job queues, workers, retries, and memory management for long-running tasks.
• Architectural Fundamentals: A strong base in CS fundamentals, cloud infrastructure (AWS, GCP, or Azure), and the ability to debug complex, distributed systems.

• Architect Autonomous Agents: Build systems capable of complex multi-step reasoning and real-world tool execution.
• Build Evaluation Harnesses: Develop the testing infrastructure (regression sets, failure analysis) that makes AI systems reliable enough for high-stakes venture decisions.
• Infrastructure Ownership: Design the job queues, memory management systems, and observability layers (tracing, cost-monitoring) for agentic loops.

• Founding Equity: A meaningful stake in the technology you create.
• Top-Tier Benefits: High-end healthcare (75%+ covered) and flexible PTO
• A High-Density Talent Environment: Work alongside 3x founders and world-class investors in a flat, high-trust culture.