





Remote-first, generalist software title, metro preference and mid-level experience make applicant competition high.
Requires specialized AI agent, planning, and LLM expertise, limiting cross-industry transferability to medium.
Explicit 2+ years, mandatory hands-on AI agent experience and MongoDB production use create high shortlisting strictness.
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Design, build, and ship production-grade AI agents focused on enterprise planning with scalable, maintainable Python code.
Make architectural decisions on planning loops, tool usage, memory management, multi-agent orchestration, and human-in-the-loop integration based on use case tradeoffs.
Develop supporting infrastructure such as data pipelines, retrieval systems, and evaluation harnesses while iterating on system reliability, accuracy, and cost.
2+ years of professional software development experience.
Strong Python skills with production code experience at scale (not prototypes).
Hands-on experience building AI agents, including knowledge of LLM-based agent strengths and weaknesses.
Experience with MongoDB schema design, queries, and production use.
Experienced in architectural design of AI agents involving planning, reflection loops, multi-agent coordination, and tool usage tradeoffs.
Comfortable working in a small senior team environment with direct collaboration with company co-founders.
Familiarity with enterprise software development and challenges related to high-stakes decision making systems.