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Senior AI Engineer - 100% Mission

SpeciTec SAGeneva, GenèveJob.bopublished 10/13/2026
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Must-have:TypeScriptPythonDockerKubernetesAIFinTech
Machine translation — original language: French.Show original

Job Description

On behalf of our client, a Swiss fintech specializing in innovative financial solutions, we are looking for a Senior AI Engineer.

Within a human-sized team, you will design and deploy solutions based on LLMs, with a first priority: developing the AI assistant and its agents. In collaboration with product teams and business experts, you will ensure their reliability, performance, and security within a regulated financial environment.

You will join an international technical team to develop AI solutions in production within a startup environment that favors autonomy and trust. Full-time position, remote work, ideally from Switzerland or a nearby time zone, with the possibility of working in the Geneva offices. Start date as soon as possible, depending on your notice period.

Main Missions

  • Design and deploy AI agents and workflows integrating tools, planning, and error management.
  • Ensure response reliability through connected data and document retrieval (RAG).
  • Develop agents for scheduled tasks, with guardrails and cost monitoring.
  • Automate evaluations and prevent regressions in CI/CD.
  • Optimize quality, performance, costs, and system traceability.
  • Protect data and secure sensitive actions.
  • Contribute to technical choices, code reviews, and team support.

We are looking for a profile meeting the following criteria:

  • At least three years of experience in backend development with TypeScript/Node.js or Python.
  • Good mastery of APIs, PostgreSQL, AWS cloud, and CI/CD.
  • Experience in deploying LLM features and agents using tools into production.
  • Practice with RAG, embeddings, vector search, and prompt and context management.
  • Skills in AI system evaluation and statistical analysis of results.
  • Autonomy, writing skills, and the ability to manage complex projects.
  • Degree in computer science or equivalent experience.
  • Assets: LangGraph, Claude Agent SDK, MCP, observability tools, Terraform, blockchain, fine-tuning, or experience in a regulated financial environment.
  • Professional English; French is an asset.