3 часа назад
Senior AI Engineer (Agentic AI)
170 000 - 190 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior AI Engineer (Agentic AI): Building production-grade agentic AI systems and evaluation infrastructure for an enterprise demand intelligence platform with an accent on agent architectures, retrieval, orchestration, and reliable production operations. Focus on designing reproducible evaluations, solving retrieval and hallucination failures, integrating external tools, and balancing accuracy, latency, and cost.
Location: San Francisco, hybrid, with occasional travel for team meets, offsites, or customer engagements
Salary: $170,000–$190,000 base salary per year, plus equity and bonus opportunities
Company
is building an AI-powered demand intelligence platform that uses agentic systems to orchestrate multi-step inference across complex enterprise data.
What you will do
- Own the evaluation layer for production agents, including harnesses, metrics, golden datasets, regression gates, and human-in-the-loop review.
- Architect and implement agent workflows with LangChain, LangGraph, or equivalent frameworks.
- Own AI systems from experimentation through production, including tracing, monitoring, latency, cost-per-task budgeting, and on-call responsibilities.
- Diagnose hallucinations, tool misuse, retrieval misses, and silent degradation, turning failures into durable fixes and tests.
- Develop retrieval strategies combining RAG, graph-based retrieval, ranking, grounding, and other approaches.
- Set technical standards for agent systems and communicate architecture decisions and tradeoffs across the company.
Requirements
- 6+ years of production software engineering experience with APIs, services, or data infrastructure.
- 2+ years building LLM or agent systems used by real users in production.
- Hands-on experience with LangChain, LangGraph, or equivalent agent and orchestration frameworks.
- Experience with testing, CI/CD, production operations, and on-call responsibilities.
- Strong technical communication, ownership, and ability to work effectively in ambiguous, fast-changing environments.
- Ability to work in a hybrid role based in San Francisco
Nice to have
- Deep experience with retrieval-augmented generation, hybrid retrieval, graph retrieval, chunking, embeddings, ranking, and grounding.
- Experience with Langfuse, OpenTelemetry, or equivalent observability tools for LLM systems.
- Experience with MCP, tool-calling frameworks, structured output, or constrained decoding.
- Early-stage startup or high-growth company experience.
Culture & Benefits
- Fast-moving startup environment with significant ownership and collaborative work.
- 100% coverage of health, dental, and vision premiums, with dependent coverage available at additional cost.
- 401(k) plan with employer matching and immediate vesting.
- Generous paid time off and commuter support for San Francisco-based employees.
- Lunch vouchers for the San Francisco office.
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