We are seeking a Senior AI / Automation Engineer to embed AI safely into real enterprise
workflows.
This is not primarily a chatbot or RAG role.
The successful candidate will combine strong software engineering with production
experience in LLMs, agentic systems, document intelligence and enterprise automation.
A core question in this role is:
What happens when the model is wrong?
What You Will Own - Build production LLM and agentic workflow capabilities.
- Develop tool-calling agents that interact with enterprise APIs.
- Implement document extraction, classification and reasoning.
- Build retrieval/context-management patterns for enterprise knowledge.
- Integrate AI services with deterministic workflow systems.
- Implement structured outputs, validation, confidence thresholds and human review mechanisms.
- Build automated evaluation and regression-testing pipelines.
- Design guardrails and policy controls.
- Implement model routing and inference-cost controls.
- Monitor latency, token consumption, quality and failure rates.
- Design fallback behavior when AI cannot safely complete a task.
- Determine when deterministic software is more appropriate than an LLM.
Required Experience - Strong software-engineering foundation.
- Production experience delivering LLM applications to real users.
- API and service development.
- RAG, embeddings and structured/tool calling.
- Asynchronous processing and state management.
- Testing, observability and production error handling.
- Understanding of context windows, model economics and inference cost.
- Experience taking AI systems beyond prototype stage.
*** Only successful candidates will be contacted ***
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