AI Engineer

Crypto Finance Group; Vevay (IN); On-site; USD 146,000 - 218,000; Full time

Job summary

Crypto Finance, headquartered in the Prime Tower in Zurich, seeks a Data & Analytics leader to push the company’s AI strategy forward: identifying use cases across departments, engineering production‑grade AI and automation solutions, and helping to build the firm's AI governance practice. You will contribute to the data platform underpinning Finance, Operations, and Risk reporting, on which AI work sits.

You will also maintain the data substrate that AI workloads consume, with feature views,

Qualifications

• Minimum 3–6 years of relevant experience with shipped work.
• Production experience with LLM applications including structured extraction and agentic patterns.
• Strong Python and production-grade coding experience.
• Working knowledge of evaluation for LLM apps (eval sets, tests, observability).
• Familiarity with Dagster, Airflow, or similar orchestrators and transformation frameworks (SQLMesh, dbt).
• Solid SQL knowledge and cloud experience, ideally GCP and BigQuery.
• Curiosity about regulated environments and the discipline they require.
• Professional proficiency in English (German a plus).
• Eligible to work in Switzerland or EU/EFTA.

Responsibilities

• Identify, scope, and prioritize AI use cases across Compliance, Trading, Operations, Legal, Sales, and Finance.
• Engineer production data solutions: deterministic automations, AI agents, and RAG systems.
• Build an innovation lab to prototype and evaluate new use cases.
• Maintain prompt and skill libraries as reusable, versioned assets.
• Maintain firm-wide AI inventory and run the AI approval process operationally.
• Review new AI initiatives; advise on scope, risk, and design choices.
• Contribute to ELT pipelines on Dagster + SQLMesh + dlt stack for AI workloads.
• Build data substrates: feature views, document indexes, and structured event tables.

Skills

Python

LLM apps

Agentic patterns

Structured extraction

Tool usage

Multi-step workflows

Evaluation & observability

Retrieval knowledge

SQL

Cloud: GCP / BigQuery

English proficiency

Tools

Dagster

SQLMesh

dbt

Airflow

Prefect

BigQuery

Git

Job description

Join our Data & Analytics team at Crypto Finance, headquartered in the Prime Tower in Zurich. Your primary mandate is pushing the company’s AI strategy forward: identifying use cases across departments, engineering production‑grade AI and automation solutions, and helping to build the firm's AI governance practice. You will also contribute to the data platform that underpins Finance, Operations, and Risk reporting, since AI work at our company sits directly on top of that platform.

What you will do:

AI & Automation Engineering

Work with stakeholders across Compliance, Trading, Operations, Legal, Sales, and Finance to identify, scope, and prioritize use cases that genuinely move the needle.

Engineer production data solutions: Deterministic automations, AI agents, RAG systems over internal documents, structured extraction pipelines.

Build the firm's "innovation lab" environment where new use cases can be prototyped and evaluated.

Maintain prompt and skill libraries as reusable, version‑controlled assets, not as one-off scripts.

AI Governance and Inventory

Maintain the firm-wide inventory of AI systems and use cases, including those built outside D&A.

Run the operational side of the company’s AI approval process: documentation, risk classification, model cards, evaluation artifacts. Policy is set at the executive level; you make sure the operational practice meets it.

Conduct technical review of new AI initiatives proposed elsewhere in the company; advise on scope, risk, and design choices.

Data Engineering and Platform

Contribute to ELT pipelines on the Dagster + SQLMesh + dlt stack, primarily where AI & automation use cases require new data sources or transformations.

Build the data substrate that AI workloads consume; feature views, document indexes, and structured event tables.

Maintain infrastructure as code in Git with proper review and deployment standards.

3-6 years of relevant experience. We are flexible on title, could be AI engineer, analytics engineer with AI focus, or data engineer who is pivoted to AI. What matters is shipped work.

• Demonstrable production experience with LLM applications: at minimum structured extraction with LLMs, and agentic patterns (tool use, multi-step workflows). You can describe what failed and what you learned.
• Strong Python; comfortable building production ready code, not just notebooks.
• Working knowledge of evaluation discipline for LLM applications (eval sets, regression tests, observability), conceptual understanding of retrieval, and how to handle hallucination.
• Familiarity with at least one orchestrator (Dagster, Airflow, Prefect) and one transformation framework (SQLMesh, dbt).
• Solid SQL (window functions, joins, query design).
• Cloud experience, ideally GCP and BigQuery.
• Genuine curiosity about regulated environments and the discipline they require.
• Professional proficiency in English (German is a plus).
• Eligibility to work in Switzerland (Swiss permit or EU/EFTA citizenship).

Equally important is how you think:

• You reach for the simplest thing that works.
• Boring SQL before vector search.
• Rules before agents.
• You can explain why.
• You are comfortable saying "this is not an AI problem" when the right answer is a dashboard, a process fix, or a deterministic script.
• You can run a stakeholder workshop and write production code in the same week.
• You take documentation, evaluation, and audit trails seriously, not as overhead.

Nice to have:

• Prior exposure to regulated financial services, crypto, or comparable model‑risk environments.

What we are not looking for:

• "Prompt engineers" with no production experience.
• Pure data engineers using this posting to pivot into AI without prior LLM work.
• Strategists or generalist "AI enthusiasts." This is a builder role.

Our culture

• Innovation and Continuous Learning
• Collaboration and Knowledge Sharing
• Entrepreneurial Spirit and Flat Hierarchies
• Values such as Excellence, Delivery, Ownership, Passion, and Unity

Please note:

We do not accept CVs from recruiting or staffing agencies.

Due to the Swiss/German labor legislation, we can only accept applicants who have the right to work in Switzerland or Germany (are in possession of a Swiss/German work permit or are EU/EFTA citizens). All other applications will not be considered.