AI & Data Engineer (all genders)

Thorit; United States; Sur place; USD 116 000 - 174 000; Plein temps

Avantages offerts par ce poste

Statutory benefits

Private health insurance

Learning stipend

EU remote flexibility up to 4 weeks/y

Résumé du poste

Thorit seeks a senior engineering anchor for Lisbon AI hub to ship production-grade agentic AI systems for enterprise clients and own data plumbing with a warehouse layer over CRM data. You will lead tool-calling LLM workflows, dbt data modeling, and RAG pipelines while ensuring observability and cost efficiency.

You will co-create an internal agent framework, build data pipelines, and establish evals with tests and SLAs.

Qualifications

• Experience shipping agent systems using tool-calling LLMs to production.
• Experience data engineering with dbt and modeling B2B CRM data.
• Production RAG with vector stores and hybrid search.
• Evals and data-test discipline in production code.

Responsabilités

• Ship 3+ production agentic AI systems to enterprise clients within 12 months.
• Build and maintain reusable agent framework including tool-calling, evals, and observability.
• Develop and operate internal data warehouse layer (dbt models, test transformations).
• Establish evals and data quality bar with tests and freshness SLAs.
• Maintain ≥ 85% billable utilization across active engagements.
• Co-author 2+ public-facing technical assets on AI or data engineering.

Connaissances

Agent systems

Tool-calling LLMs

dbt data modeling

RAG systems

Python/TypeScript

Cloud & IaC

Observability

Outils

dbt

BigQuery

Snowflake

Postgres

Description du poste

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.

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

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.

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.

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)

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.