Required Skills & Experience
Backend Mastery: Expert-level proficiency in Python and FastAPI; significant experience building scalable, production-grade RESTful APIs and microservices.
AI Ecosystem & Agentic Intelligence: Deep experience with LangChain and LangSmith; proven track record building multi-step reasoning chains and tool-use protocols for autonomous agents.
Cloud & Infrastructure: Robust experience with AWS (Bedrock, ECS, S3) and containerization (Docker/Kubernetes). Understanding of Firecracker MicroVMs for agent sandboxing is a major plus.
Orchestration & Messaging: Hands-on experience with Temporal for workflow orchestration and RabbitMQ or AWS SQS for event-driven architectures.
Security & Identity: Proven experience implementing OAuth 2.0 and integrating enterprise identity providers like WorkOS.
Database Proficiency: Practical experience with relational (PostgreSQL), Graph (Neo4j/GraphDB), and Vector (ChromaDB/PGVector) databases.
API Design: Demonstrated ability to design and version public-facing APIs and client libraries that other engineering teams depend on.
Desirable
Prodigy Framework: Familiarity with the Prodigy agentic framework is a significant advantage for this role.
Domain Expertise: Understanding of Commercial Real Estate (CRE) workflows.
Evaluation Literacy: Experience building programmatic "Evaluation Harnesses" to measure accuracy and hallucination rates in AI models.