About this role
Build and ship Tango's first AI-powered product, turning generative AI and ML advances into production-ready capabilities for real estate technology. You'll establish AI engineering practices from the ground up, designing agents on LangGraph, implementing RAG systems, and driving evaluation frameworks for complex corporate real estate workflows.
Must have
7+ years professional software engineering experience
2+ years building LLM-powered systems in production
Strong Python expertise with FastAPI and Pydantic
Production experience with agent orchestration framework
Hands-on depth with at least one frontier model API
Hands-on experience with LLM evaluation and regression testing
Experience with MCP tool servers and multi-agent patterns
Production RAG and retrieval experience
Experience with LLM observability and tracing tools
Sound judgment about LLM failure modes and safety
Technologies
Responsibilities
Design and ship production AI agents on LangGraph
Own agents end to end including graph design and tool definitions
Build agent tooling against internal systems over MCP
Deliver human-in-the-loop review flows with interrupt points
Build and tune retrieval with chunking and hybrid retrieval
Contribute evaluations with golden datasets and regression suites
Diagnose quality failures to root cause across all layers
Own agent-level safety behavior and prompt-injection resistance
Partner with Product to translate accuracy thresholds into behavior
Feed agent session analytics into the warehouse for measurability
Benefits
Amenities
Recruitment process
Help establish how AI is built and applied at Tango from the ground up
Influence technical architecture and engineering standards
Tackle complex data-rich workflows across corporate real estate
Work with Platform Engineering on deployment
Work with Data Platform on curated datasets for agents
Transition reference agents to domain teams for long-term operation
Applicants must be authorized to work in the U.S.
Cannot sponsor employment-based visas at this time
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