AI & Data Engineer (all genders)

About Thorit Thorit is one of Europe's leading HubSpot Partners and a leading consulting and technology firm in the DACH region. We combine strategic consulting with hands-on implementation, from CRM architecture to fully automated, AI-powered go-to-market infrastructure. Our clients are enterprise B2B companies who do not just want to adopt a platform, they want a real growth system. Our team is based in Böblingen and Lisbon, and now expanding to Tbilisi, our clients across the DACH region and beyond. Your Role As AI & Data Engineer in our Tbilisi hub, you ship at least 2 production-grade agentic AI systems and 1 reusable internal data pipeline (HubSpot data warehouse plus client analytics layer) within 12 months. You own end-to-end implementation of agentic systems (orchestration, RAG pipelines, evals, deployment, observability) AND the data plumbing they depend on (extraction, transformation, modeling, governance). You pair daily with the Lisbon AI & Data Engineer and the Tbilisi Senior Backend Anchor. We are hiring this role because the AI consulting practice is supply-constrained, and Thorit's own data foundation (HubSpot data, project data in Forecast, finance data in weclapp) is fragmented, blocking both internal analytics and AI-driven client deliverables. The Tbilisi seat adds capacity behind the Lisbon counterpart at a more flexible cost and legal framework. In Phase 1, this role is internal-facing; client-facing engagement opens in Phase 2 once a 12-month delivery track record is documented. Your Responsibilities Production AI Delivery. Ship 2+ production agentic AI systems used by enterprise clients via the Lisbon or DACH frontstage within 12 months, deployed, signed-off, in active use. Data Warehouse Layer. Build and maintain Thorit's internal HubSpot data warehouse (dbt models, source freshness checks, tested transformations) usable by AI engagements and internal analytics within 9 months. Reusable Agent Framework. Contribute to Thorit's reusable agent framework (tool-calling layer, prompt management, evals harness, observability) used across all sites. Quality Bar. Establish a documented evals and data quality bar: every shipped agent has documented evals, drift monitoring, rollback plan; every shipped pipeline has tests and freshness SLAs. Billable Capacity. Be billable on internal AI projects or client engagements via Lisbon/DACH frontstage at 65% of available capacity from month 6. Pre-sales Authority. Contribute to AI proposal and scoping conversations as the technical authority via the Lisbon or DACH frontstage. Thought Leadership. Co-author 1+ public-facing technical asset (blog post or webinar) on Thorit's AI engineering or data engineering approach. What We Offer Competitive compensation with a transparent salary band and a structured bonus model tied to delivery outcomes and team contribution. Remote.com EOR contract with full Georgian compliance: clean payroll in EUR, paid leave, and local social-security alignment. Hardware setup shipped to your home office before day one (laptop, monitor, peripherals). Blinkist Business (4,500+ book summaries) and Babbel (3 months) for continuous learning. Remote Work Program, up to 4 weeks per year from anywhere in the EU, with €500 setup allowance. Cross-site exchange, with a 3 to 5 day on-site visit to Lisbon or Böblingen within your first 90 days, and regular team rituals across all three sites. Tbilisi office access once leased (timeline 2026 to 2027), plus the option to keep working from home or coworking spaces in the meantime. Modern stack: HubSpot, Jira, Confluence, Claude AI, and the freedom to shape how you work. Direct leadership access, flat hierarchies, and visible impact on a hub being built from scratch. How to Apply Send your application through our careers page. No cover letter needed. What we want to see: your CV plus a concrete example of an agentic AI system or production data pipeline you shipped end-to-end. Your Profile 3 to 6 years of production engineering experience with at least one shipped agent system using tool-calling LLMs (Claude, GPT, Gemini). You understand tool schemas, multi-step reasoning, error handling, retries, observability. Hands-on data engineering with dbt (or comparable), production data pipelines, and a warehouse (BigQuery, Snowflake, Postgres, DuckDB) under change control. You have modeled CRM or B2B data into a clean dimensional layer. RAG and knowledge systems in production: vector stores (Pinecone, Weaviate, pgvector), hybrid search, re-ranking, chunking strategies that work for enterprise documents. Eval and data quality discipline: you do not ship without automated eval suites and dbt-style data tests. Production engineering hygiene: maintainable Python or TypeScript, tests, types, CI, deployment. Comfortable in cloud (AWS, GCP, Azure), Docker, basic IaC. Business-fluent English (working language across all sites). Native speaker not required. Tbilisi-based, working under Remote.com EOR contract, with consistent 5-hour CET overlap daily. What Makes You Excel You read token cost and warehouse cost like an SRE reads CPU. You know when to cache, when to fine-tune, when to pre-aggregate. You write async updates that remove the need for sync follow-up, and you flag blockers early instead of staying stuck. You have integrated AI or agent systems with CRMs, ticketing tools, or data warehouses. HubSpot is a strong plus, not a requirement. You ship and learn from production. You do not stop at notebook prototypes. You enjoy pairing remotely with the Lisbon counterpart and learning from a senior reviewer in a different timezone.