AI & Data Engineer (all genders)

About the Role You'll be the senior engineering anchor of our Lisbon AI hub. You'll ship production-grade agentic AI systems for enterprise clients (orchestration, RAG, evals, deployment, observability) AND own the data plumbing they depend on (dbt models on a warehouse layer over HubSpot and client data). The AI Team today has more qualified AI requests in the pipeline than engineers capable of taking them from prototype to production. You change that. You'll also be the Lisbon-side anchor for our planned Tbilisi AI & Data Engineer hire later this year, pairing daily and acting as the buddy and senior reviewer. What You'll Do You'll ship 3+ production agentic AI systems to enterprise clients within 12 months (deployed, signed off, in active use) You'll build and maintain our reusable agent framework : tool-calling layer, prompt management, evals harness, observability, usable by future AI Engineers across all sites You'll build and operate the internal data warehouse layer (dbt models, source freshness checks, tested transformations) for both client AI engagements and internal analytics You'll establish our evals and data quality bar : every shipped agent gets documented evals, drift monitoring, and a rollback plan; every shipped pipeline gets tests and freshness SLAs You'll maintain ≥ 85% billable utilisation across active engagements You'll co-author 2+ public-facing technical assets (blog post, webinar, conference talk) on our AI or data engineering approach You'll contribute to AI proposal and scoping conversations as the technical authority alongside Sales and Advisory You'll onboard and pair daily with the Tbilisi AI & Data Engineer once that hire ramps in Q4 2026 What You Bring Must-haves Direct experience building and shipping agent systems using tool-calling LLMs (Claude, GPT, Gemini) to production. You understand tool schemas, multi-step reasoning, error handling, retries, observability Hands-on data engineering experience with dbt (or comparable), modeling CRM or B2B data into a clean dimensional layer, operating a warehouse (BigQuery, Snowflake, Postgres, DuckDB, or similar) under change control Production RAG experience with vector stores (Pinecone, Weaviate, pgvector), hybrid search, re-ranking, and chunking strategies that actually work for enterprise documents Evals and data-test discipline. You don't ship without them. Automated eval suites (golden datasets, LLM-as-judge, regression tests) and dbt-style data tests treated as production code, not notebooks Production engineering hygiene: maintainable Python or TypeScript, tests, types, CI, deployment, cloud fluency (AWS, GCP, or Azure), Docker, basic IaC Cost and latency awareness. You read token cost and warehouse cost like an SRE reads CPU. You know when to cache, when to fine-tune, when to switch models or pre-aggregate data Native-level Portuguese plus clear business English. Daily working language with the DACH and Tbilisi teams is English Nice-to-haves Experience integrating AI or agent systems with HubSpot, Salesforce, or comparable enterprise CRM platforms Prior experience as the senior engineering anchor on a distributed team across multiple time zones Public open-source contributions or shipped commercial AI products Experience building or contributing to an internal agent framework or LLM tooling layer Your Team You'll join the AI Team within our Development & Technology Practice as the Lisbon anchor. You'll report to the Director Development & Technology, with day-to-day collaboration with Senior Engineers across the Practice. You'll partner closely with the Tech Consulting team on solution architecture, the Development team on integration work, and the Consulting Practice (Advisory) on AI proposal scoping. From Q4 2026 onward, you'll buddy and pair with the planned Tbilisi AI & Data Engineer. Tech Stack AI & Agentic: Claude (primary), GPT, Gemini, tool-calling and function-calling APIs, internal agent framework RAG & Knowledge: Pinecone, Weaviate, pgvector, hybrid search, re-ranking Languages: Python (primary), TypeScript Data Engineering: dbt, BigQuery / Snowflake / Postgres / DuckDB, source-freshness checks, dbt tests Infrastructure: AWS, GCP, or Azure, Docker, basic IaC, GitHub Actions or GitLab CI Internal Tooling: Jira, Confluence, Forecast, Claude AI, Claude Code, Cursor What We Offer Statutory: Standard Portuguese employment benefits via local entity or EOR (paid time off, public holidays, parental leave, statutory health coverage) Health: Private health insurance top-up Learning: Full Blinkist Business library (4,500+ books), 3 months of Babbel, HubSpot certifications fully funded, dedicated AI conference budget Flexibility: Up to 4 weeks per year working from anywhere in the EU with a €500 allowance, hybrid setup with Lisbon hub access Culture & Tools: Flat hierarchies with direct access to CEO and Leadership, modern stack (HubSpot, Jira, Confluence, Claude AI), Senior anchor role with Tbilisi mentorship from Q4 2026 About Thorit Thorit is one of Europe's leading HubSpot partners and a top business and technology consultancy. We combine strategic advisory with hands-on IT implementation, from CRM architecture to fully automated go-to-market infrastructure powered by AI and agentic systems. Ready to Apply? Send your application via Ashby. A cover letter is optional, but a concrete example of the most complex agent system you've personally shipped to production (architecture, tooling, evals, rollout, what broke and how you fixed it) is required.