AI Engineer (Mid-Senior)
Undisclosed company
SeniorFull-timeAI & ML
Confirmed open at the employer 18 hours ago · Posted 18 hours ago
Requirements
pythontypescriptragsystem designobservability
Nice to have
llamaindex
Job description
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.
- 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.
Requirements:
- 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.
- 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.
This position is open to all candidates.
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