AI Engineer (Mid-Senior)
The Role
- 4+ years of backend / applied-AI engineering in production.
- Strong Python and/or TypeScript.
- Hands-on agentic AI experience in 2025-2026 - MCP, tool-use, function-calling, RAG, structured output, evals.
- Excellent system design chops - queues, retries, idempotency, observability.
- You ship, and you finish what you ship.
What You'll Do
- Build and harden AI Workers for real enterprise workflows - procurement, finance, HR, sales, risk, integration.
- Own the MCP connector framework - reusable tool servers that power every AI Worker.
- Design multi-step agentic flows with planning, reflection, retries, approvals, and clean failure modes.
- Ship evaluation suites that catch regressions before customers do.
- Instrument cost, latency, and reliability; drive them down relentlessly.
- Partner with Product and Solutions to ship features that survive contact with enterprise reality.
What You Bring
- 4+ years of backend / applied-AI engineering in production.
- Strong Python and/or TypeScript.
- Hands-on agentic AI experience in 2025-2026 - MCP, tool-use, function-calling, RAG, structured output, evals.
- Excellent system design chops - queues, retries, idempotency, observability.
- You ship, and you finish what you ship.
Nice to Have
- MCP expertise (you've built or maintained MCP servers).
- Experience with LangGraph, LlamaIndex, DSPy, Temporal, or similar orchestration.
- Prior work on enterprise SaaS, iPaaS, or automation platforms.
Why This Role Matters
Gini is the product. Every AI Worker you ship moves real money and runs real operations inside enterprises - reliability isn't a feature here, it's the whole job.
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