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Senior AI Engineer - AI Systems

Job description

We believe in building software that improves lives. As a Senior AI Engineer for AI Systems you own the machinery that makes our accelerators reliable and reusable: the agent harness, orchestration, the platform-agnostic core, the evaluation infrastructure, and the observability that tells us whether a change made things better or worse. You are the reason delivery teams can trust output from a non-deterministic system.e

What you'll own:

The reusable accelerator core and the multi-agent workflows built on it.
Agent design across coding, planning, review, and testing agents, with tool-calling and human-in-the-loop where it earns its place.
The evaluation pipelines and telemetry that make quality measurable and regressions visible.
Reliability, cost control, and observability for agentic systems in real use.

Requirements

Key Qualifications:

At least 6 years of professional experience relevant for the role (probably a mix of AI Engineering and Software Deveopment).
Can deploy a working customer facing app themselves including devops, front end, backend etc
Has experience building a production app which was modern, could handle scale, fast, responsive etc
AI SDLC in production experience
Real depth in LLM application engineering: prompt design, function calling, structured outputs, RAG, vector stores, with the Anthropic and OpenAI APIs.
Evaluation-driven development as a core habit, not an afterthought. You treat evals as the source of truth.
Experience building agentic systems end to end: systems that plan, write code, validate their own output, and improve over time.
Familiar with the orchestration landscape (LangGraph, LlamaIndex, AutoGen, CrewAI) and opinionated about when a thin custom harness beats a framework.
Working fluency with at least one cloud data platform and SQL: enough to build eval and verification infrastructure that your applied-data counterpart fills with domain rules. You do not need to be the deepest data expert in the room.

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