Senior AI Engineer

Our AI team are the evangelists of Artificial Intelligence at Ataccama. We build the AI agents that power data quality, cataloging, and governance workflows across our platform - moving cutting-edge research into reliable, production-grade features our customers depend on.

As a Senior AI Engineer, you'll own the design and reliability of the LLM agents at the heart of our AI-powered platform. This is a hands-on individual-contributor role for someone who has built agents that run in production - and knows what it takes to keep them fast, correct, and observable at scale.

Your work will include:

• Designing, building, and hardening LLM agents with real tool use and multi-step orchestration for data quality, catalog, and governance tasks.
• Owning agent reliability end to end - latency, correctness, and cost - including evaluation harnesses and production observability.
• Designing and evolving our agent tooling layer, including MCP servers and protocol-level integrations, so capabilities can be exposed cleanly and securely.
• Building and tuning RAG pipelines and grounding strategies where agents need reliable access to customer data and metadata.
• Working across our LLM gateway (LiteLLM proxy) and model providers to route, monitor, and optimize inference.
• Setting technical standards for how we build agents, and raising the bar for the whole team through design reviews and pragmatic architectural trade-offs.

What we're looking for

• Strong, modern Python and a track record of shipping LLM agents to production - not just prototypes or demos.
• Hands-on experience with agent architectures: tool calling, orchestration, and the failure modes that come with them.
• Practical experience with MCP (or comparable protocol/tooling design), and the judgment to know when a protocol layer is worth it.
• Experience building agent evaluation and observability - you measure quality and latency, you don't guess at them.
• Familiarity with RAG, retrieval, and grounding techniques and their real-world limitations.
• Comfort with LLM gateways/proxies (e.g. LiteLLM) and provider APIs (Azure AI Foundry, OpenAI, or similar).
• Healthy skepticism toward hype - you surface trade-offs before recommending a direction.

Nice to have

• Kubernetes, AWS, or Azure experience.
• Background in data management, data quality, or governance.
• Exposure to OAuth2/SSO and multi-tenant service design.