Thorit - AI & Data Engineer (all genders)
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Requirements
• Must-haves • 3 to 6 years shipping production AI/data systems beyond notebooks. You can walk us through what you shipped, what broke, and how you fixed it • Direct production experience building agent systems with tool-calling LLMs (Claude, GPT, Gemini): tool schemas, multi-step reasoning, error handling, retries, observability • Production data engineering with dbt (or comparable): modeled CRM or B2B data into a clean dimensional layer, operated a warehouse (BigQuery, Snowflake, Postgres, DuckDB) under change control • Production RAG with vector stores (Pinecone, Weaviate, pgvector), hybrid search, re-ranking, and chunking strategies that work for enterprise documents • Evals discipline: you've built automated eval suites (golden datasets, LLM-as-judge, regression tests) and dbt-style data tests, and treat both as production code • Strong Python or TypeScript with tests, types, CI, deployment in cloud (AWS, GCP, or Azure), Docker, basic IaC • Business-fluent English (daily working language across all sites) • Tbilisi-based or willing to relocate, with sustainable 5-hour CET overlap commitment • Nice-to-haves • Direct HubSpot APIs experience (REST, GraphQL, webhooks) • Public open-source contributions to AI or data engineering tools • Experience integrating AI systems with CRMs, ticketing tools, or warehouses at enterprise scale • Experience as a hub or site foundation engineer • Your Team • Your Team • You'll report directly to the Director Development & Technology, with day-to-day pairing with the Lisbon AI & Data Engineer and the Tbilisi Senior Backend Anchor. You'll join the AI Team as the Tbilisi seat, working closely with the Lisbon hub for AI delivery and across Tbilisi for data plumbing. • Languages: Python and TypeScript • Languages: • Agent frameworks: LangGraph, LangChain, CrewAI, Pydantic AI, Mastra (we pick per engagement) • Agent frameworks: • LLMs: Anthropic Claude (we are an Anthropic Build Partner), OpenAI, Gemini, with self-hosted options where the engagement demands it • LLMs: • Data engineering: dbt, BigQuery / Snowflake / Postgres / DuckDB, Airbyte / Fivetran (where it fits) • Data engineering: • Vector / RAG: Pinecone, Weaviate, pgvector • Vector / RAG: • Observability: LangSmith, Helicone, Langfuse, Arize • Observability: • Cloud and DevOps: AWS, GCP, Azure, Docker, GitHub Actions • Cloud and DevOps: • CRM and integration: HubSpot APIs (REST, GraphQL, webhooks) • CRM and integration: • Collaboration: Jira, Confluence, Forecast, Claude AI, Claude Code, Cursor • Collaboration:
Responsibilities
• You'll ship 2+ production agentic AI systems used by enterprise clients (deployed, signed-off via the Lisbon or DACH frontstage, in active use) • ship 2+ production agentic AI systems • You'll build and maintain our internal HubSpot data warehouse layer: dbt models, source freshness checks, tested transformations, usable by AI engagements and internal analytics • build and maintain our internal HubSpot data warehouse layer • You'll contribute to our reusable agent framework (tool-calling layer, prompt management, evals harness, observability) used by future AI Engineers across all sites • contribute to our reusable agent framework • You'll establish a documented 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 • establish a documented evals and data quality bar • You'll maintain ≥ 65% billable utilisation on internal AI projects or client engagements via the Lisbon/DACH frontstage from month 6 onward • maintain ≥ 65% billable utilisation • You'll co-author 1+ public-facing technical asset (blog post or webinar) on our AI engineering or data engineering approach • co-author 1+ public-facing technical asset • You'll contribute to AI proposal and scoping conversations as the technical authority alongside Sales/Advisory via the Lisbon or DACH frontstage • contribute to AI proposal and scoping conversations
Benefits
• Employment & Statutory: Compliant Georgian employment via Remote.com EOR (paid time off, public holidays, parental leave, statutory health coverage), salary paid in EUR • Employment & Statutory: • Health: Private health insurance top-up on top of statutory coverage • Health: • Learning: Full Blinkist Business library (4,500+ books), 3 months of Babbel, dedicated AI and data engineering certification budget • Learning: • Flexibility: Remote-first setup with Tbilisi hub access, daily CET overlap (5 hours minimum) • Flexibility: • Culture & Tools: Flat hierarchies with direct line to Director D&T and Leadership, modern stack (HubSpot, Jira, Confluence, Claude AI), Anthropic Build Partner status with early access to Claude capabilities • Culture & Tools: • 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? • Ready to Apply? • Send your application via Ashby. A cover letter is optional, but two artefacts are required: (1) a concrete example of a production agent system you have personally shipped (architecture, tooling, evals, rollout, what broke and how you fixed it), and (2) a concrete example of a production data pipeline you have personally designed and shipped (source systems, modeling decisions, tests, freshness, who consumed it). Public links (GitHub, blog post, demo video) very welcome.
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