5 meilleures offres (python, vaud) (à pourvoir)

Forward Deployed AI Engineer
Compagnie Financière Tradition —Lausanne, VD
- Télétravail
- Pas d'expérience requise
- Niveau Master
- JavaScript
- Travail à domicile
- Congé parental payé
Postuler rapidement
5 h
Electronics Technician
AgEagle Aerial Systems Inc. —Cheseaux-sur-Lausanne, VD
- 100%
- Schémas
- Anglais
- Assemblage
18 h
Senior Software Engineer - Data Science Platform
Compagnie Financière Tradition —Lausanne, VD
- Télétravail
- Niveau Master
- JavaScript
- Linux
- Travail à domicile
- Congé parental payé
Postuler rapidement
4 h
ICP Systems Engineer
emploi.epfl.ch —Lausanne, VD
- Informatique
- Gestion du personnel
- Anglais
20 h
Sports Data Specialist
International Olympic Committee —Lausanne, VD
- Anglais
- Niveau Licence
- Sans diplôme d'enseignement supérieur
2 h

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Forward Deployed AI Engineer

Compagnie Financière Tradition -
Lausanne, VD

Postuler rapidement

Détails de l'emploi

CDI | Temps de travail : 80-100%
Il y a 5 heures

Avantages

Pension d'entreprise
Travail à domicile
Congé parental payé
Événements d'entreprise
Réduction pour les employés

Qualifications

CI/CD
Pas d'expérience requise
Niveau Master
JavaScript
Technologies de l'information
Python

Description complète du poste

We are looking for a Forward Deployed AI Engineer to build and ship internal AI tools alongside the people who use them. You will sit close to the business, working directly with teams across our regions to turn real workflows into working software on top of our internal AI platform.

This is a hands-on engineering role. You will scope the problem with stakeholders, build the solution, deploy it, and own it in production. Strong software engineering is the core of the job; the AI platform is the toolkit you will build with.

The role is based in Lausanne, where the work will start. Travel to our offices around the world should be foreseen as the platform is rolled out across regions, and is a lasting part of the role rather than an occasional exception.

What you'll do

Work directly with teams across the business to understand their workflows, spot where the platform can help, and scope solutions end to end

Map how a process actually runs today, then redesign it together with the people who own it, so that parts of it can be automated and the rest made materially better

Own delivery from the first conversation through to production: design, build, deploy, iterate on real feedback

Build applications, agents, and agentic workflows on top of our platform and on-prem LLMs served via vLLM

Support deployment and adaptation of the platform across multiple regions, accounting for infrastructure and compliance differences

Set up and maintain deployment pipelines and CI/CD for AI applications

Monitor application health, model performance, and usage as the platform scales

Run demos, walkthroughs, and training sessions, and write the documentation that gets people using what you build

Feed what you learn in the field back into the core platform so the next deployment is easier

What you'll bring

Degree in Computer Science, Software Engineering, or a related field

2+ years of experience - post graduation - as a software engineer, in a role where you worked directly with stakeholders or end users – not necessarily in the financial sector. Please note that this is a hard requirement: candidates with no sufficient industry experience won't be considered.

Strong software engineering fundamentals and strong Python. You write code that other people can pick up, run, and maintain

A good posture with stakeholders: you can run a discovery conversation, ask the questions that matter, push back on a request that won't work, and translate a vague business problem into a scoped piece of work

Autonomy in scoping and owning projects. You set your own priorities, drive progress toward broader team goals, and see work through to adoption rather than handing it off

A structured way of thinking about processes: you can take a workflow apart, see which steps carry the value and which are there by habit, and propose a better design rather than automating the existing one as it stands

Experience with CI/CD pipelines and deployment automation

Familiarity with application/system monitoring and observability tools (e.g. Prometheus, Grafana or similar)

Comfortable building against LLM APIs and consuming models served via vLLM (no deployment/ops experience required)

Nice to have

Experience with AI agent frameworks such as Hermes Agent, OpenClaw, or similar

Familiarity with visual workflow orchestration platforms (e.g. n8n, Langflow)

Familiarity with JavaScript and developing small front-end applications

Available to start immediately

Benefits:

Company events
Company pension
Employee discount
Parental leave
Work from home

Work Location: In person

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