Senior AI Engineer
Ataccama is the agentic data trust company. Organizations worldwide rely on Ataccama ONE, the agentic data trust platform, to ensure data is accurate, accessible, and trusted for every decision and system. Powered by the ONE AI Agent, Ataccama ONE brings autonomy to data quality and governance, continuously monitoring, improving, and explaining the reliability of data across complex enterprise and multi-agent environments. At the core of the platform is Ataccama’s market-leading data quality, with modules built around it to unify data quality monitoring, catalog, lineage, observability, and reference data management, ensuring data is consistent and explainable. This quality-first foundation makes data the engine of trust, powering AI, analytics, and operations with confidence.
Recognized as a Leader in the 2026 Gartner Magic Quadrant for Augmented Data Quality and positioned furthest in Completeness of Vision, Ataccama continues to set the standard for enterprise-grade data trust.
Our people are located across the globe. They succeed by collaborating as a team and thrive in our company culture defined by these core values:
Challenging Fun
ONE Team
Customer Centric
Candid and Caring
Aim High
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 ready to build agents that run in production, and 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 the engineering judgment of someone who has been senior for a while — you can be trusted with an ambiguous problem and a production system.
- A track record of delivering a product or service end to end: you scoped it, built it, shipped it to real users, and kept it running. Not just features inside someone else's architecture.
- A you-build-it-you-run-it mindset by conviction, not obligation — you've been on call for your own code, you've written the runbook, you've done the postmortem.
- Solid grasp of production fundamentals: observability, testing strategy, CI/CD, incident response, and the operational cost of design decisions.
- Comfort designing and operating services in cloud and Kubernetes environments.
- Experience working with LLM APIs in production code (any provider) — you don't need to have built agents, but you should have shipped something backed by a model and dealt with what goes wrong.
- Genuine engagement with where AI engineering is going — you follow how the field is moving and can reason about what's real versus noise. You've either built agents already, or you're set on mastering it here: this team's work is agentic, and we expect you to get there fast.
- Healthy skepticism toward hype — you surface trade-offs before recommending a direction, and you say so when the simpler option is the right one.
- Candid, low-ego collaboration with product, design, and other engineers.
Nice to have
- Experience building LLM agents that ran in production — tool calling, multi-step 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.
- RAG, retrieval, and grounding techniques, and a realistic view of their limitations.
- LLM gateways and proxies (e.g. LiteLLM) and provider APIs (Azure AI Foundry, OpenAI, or similar).
- Agent-specific evaluation and quality measurement.
- Background in data management, data quality, or governance.
- OAuth2/SSO and multi-tenant service design.
We are open to a hybrid working setup, with the option to work remotely within Czechia and Slovakia.
Ataccama is proud to be an Equal Opportunity Employer. We know diversity fuels knowledge exchange, fosters innovation, and empowers us to grow and be better as a company and as humans.
Perks & Benefits
• Long-Term Incentive Program
• 2 sick days and 25 days of vacation, with the option to request additional Flexible Time-Off days when needed
• The Global Family Support Program - a paid leave program to help all parents focus on the new addition to their family
• Flexible working hours & hybrid work setup
• Benefit Plus - flexible employee benefit platform (incl. Multisport card)
• Annual package for mental health support
• "Bring Your Friend" referral program
• Shared company cards for free entrance to Prague Zoo & Botanical garden
• Company bikes, longboards, e-scooters
• Conference tickets to the best industry events of the year
• Online courses & company access to Udemy to hone your skills
• Access to paid AI tools
• Company library, where you can even suggest the best educational books for us to order
• Kitchens stocked with fresh fruit and juice, teas, and the best coffee
Work Equipment
• Company laptop
• Company mobile phone + SIM card & package of mobile data
At Ataccama, our core values are Candid & Caring, so we are upfront about our process and details that are important to you. We sometimes use AI tools to help us with things like reviewing applications, taking notes from screening conversations, scheduling interviews, or supporting assessments. These tools make the process smoother and fairer — but don’t worry, they never make the final decision. Every hiring decision is made by our Talent Acquisition Partners and Hiring Managers, with AI only acting as a helpful assistant. We believe technology should support the process, not replace the human touch.
We currently use AI-assisted tools - Metaview for interview notes and Lever Talent Fit to help highlight key experience. If you have any questions or concerns, feel free to reach out to us at jobs@ataccama.com, making reference to AI Act Inquiry in the subject line.
While we highly value cooperation with all our business partners, we don’t accept unsolicited resumes from any sources other than directly from a candidate. We reserve the right not to pay any fee for sending an unsolicited offer containing the details or resume of a job candidate, even if the relevant candidate is employed by our company.
Go to open positions We offer equal opportunities
Ataccama is proud to be an Equal Opportunity Employer. We know diversity fuels knowledge exchange, fosters innovation, and empowers us to grow and be better as a company and as humans. We seek to recruit, develop, and retain the most talented people from a diverse candidate pool.
We are committed to fair and accessible employment practices. If you are contacted for a job opportunity, please let us know how we can best meet your needs and advise us of any accommodations required to ensure fair and equitable access throughout the recruitment and selection process. Accommodation requests can be sent to jobs@ataccama.com.
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