2 annunci per il ruolo di database - genève, ge (recruiting in corso)

Senior Data / AI Engineer
Alpian SA —Le Petit-Saconnex, GE
- Master
- Database
- SQL
Digital Product Owner
IMI Climate Control —Eysins, VD
- Inglese
- Master
- Database
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Digital Product Owner
IMI Climate Control —Eysins, VD
High degree of organization, individual initiative, and personal accountability. You translate product roadmap into well-defined product requirements including…
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Senior Data / AI Engineer

Alpian SA
Le Petit-Saconnex, GE

Candidati adesso

Dettagli della posizione

Qualifiche

Google Cloud Platform
Master
Database
SQL
Python
Debugging

Descrizione completa della posizione

Geneva (Le Petit Saconnex)



Cloud & AI

Das Ziel der Position:

ABOUT ALPIAN:
We are building the next generation of private banking — one that is digital, personalized, and meaningful.

Alpian is the first Swiss digital private bank, combining wealth management and everyday banking in a single mobile app. Our mission? Make investing and banking simple, intuitive, and accessible—without compromising on security, trust, or excellence.

To get there, we bring together bold thinkers, pragmatic engineers, and people who know how to deliver high-impact solutions.

If you like solving hard problems for real users, in production, you will feel right at home.

PURPOSE:
As a Senior AI Engineer, you will design, build, and operate production-grade AI systems that power Alpian’s next-generation banking experiences.

This role goes far beyond prompts and demos. You will apply strong software engineering discipline, data governance principles, and modern LLM techniques to deliver AI systems that are secure, observable, cost-aware, and trustworthy (i.e., the kind that belong in a regulated banking environment).

You will work at the intersection of LLMs, analytics, and data platforms, where BigQuery and analytical correctness matter just as much as agentic workflows.

Jobübersicht:

WHAT YOU'LL BE DOING:

Design and implement LLM-powered platforms used by real customers and internal teams.
Build agentic workflows with explicit state, tool/function calling, retries, and failure handling.
Engineer robust (Agentic) RAG pipelines:
Chunking and embedding strategies
Metadata-aware retrieval and ranking
Grounding
Leverage analytics and data platforms as first-class AI inputs:
Querying and modeling data in BigQuery
Designing AI-friendly analytical schemas
Ensuring correctness, consistency, and explainability of results
Apply data governance and security best practices:
PII handling and customer data isolation
Access control, auditability, and traceability
Make AI systems observable and measurable:
Tracing, evaluations, and error analysis
Latency and cost monitoring
Write clean, maintainable Python code:
Async APIs
Proper testing strategies
CI/CD pipelines and containerized deployments
Act as a technical interface with stakeholders and partners, producing clear documentation and explaining trade-offs without hype.
Provide clear technical documentation
Explain trade-offs without hype or buzzwords

OUR STACK:

Google ADK (Agent Development Kit)
Google Vertex AI
BigQuery (core analytical and AI data platform)
Grafana (analytics, metrics, and data exploration)
Python (async, APIs, testing, best practices)
Vector databases & embedding models
Cloud-native infrastructure on GCP
CI/CD, containers, IAM, secrets management

Erfahrung / Fähigkeiten erforderlich:

WHAT YOU'LL NEED:

5–8+ years of experience in software or platform engineering, with recent production LLM systems.
Strong Python expertise, including async programming, API design, testing, and production debugging.
Hands-on experience with agentic frameworks, such as:
LangGraph / LangChain Agents
AutoGen
CrewAI
LlamaIndex Agents
(Bonus: Google ADK)
Deep, practical experience with RAG engineering:
Vector databases
Chunking & embedding strategies
Metadata-driven search and ranking
Strong experience working with analytical data platforms, including:
Writing and optimizing SQL queries
Understanding analytical data models and metrics
Using analytics outputs as reliable AI inputs
Proven track record building secure, observable, and cost-aware AI systems:
Tracing, evals, guardrails
IAM, secrets, and PII-aware architectures
Strong software engineering fundamentals:
APIs, CI/CD, containerization
Structured, maintainable codebases
Clear communicator who can work across engineering, product, and business teams.

NICE TO HAVE:

Experience designing multi-tenant AI systems
Strong experience with the Google Cloud (Data) Platform:
BigQuery
Vertex AI Agent Engine
Gemini Enterprise
Experience integrating AI outputs with a dashboarding tool (e.g., Grafana, Looker) or analytics workflows
Familiarity with ML evaluation frameworks or LLM-as-judge approaches
Background in regulated environments (finance, healthcare, etc.)
Strong opinions about software engineering and Python best practices (earned the hard way)

We care deeply about PRE-LLM EXPERTISE:

data governance,
ML fundamentals,
evaluation rigor,
and knowing when not to use an LLM.

WHY JOIN ALPIAN:

Build the future of banking from the ground up
A startup mindset backed by a full banking license
A flat, collaborative, high-impact environment
Hybrid setup, with base locations in Geneva or Lausanne

Ready to lead, empower, and build the bank of tomorrow? Apply now and let’s make it happen.

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