Artificial Intelligence Engineer

Sigma Suisse; Genf; Vor Ort; CHF 120.000 - 180.000; Vollzeit

Zusammenfassung

Sigma Suisse seeks an experienced Artificial Intelligence Engineer in Geneva to design and build scalable AI platforms and LLM services. You will ship production-grade generative AI solutions, covering data retrieval, analysis and decision support for engineering teams.

The role focuses on hands-on development, building reusable components, APIs and tooling, while establishing reference architectures and safe, measurable AI systems. Fluency in English is required; Swiss work eligibility applies.

Qualifikationen

• Production delivery of LLM based applications or AI platforms.
• Python API and service development with async frameworks.
• Experience with foundation model APIs (OpenAI, Anthropic, Vertex AI, Bedrock).

Aufgaben

• Build RAG services end to end, ingestion, parsing, chunking, indexing, retrieval, reranking, context assembly.
• Develop shared platform capabilities for LLM applications, agentic systems and enterprise knowledge solutions.
• Define reference architectures, engineering standards and implementation patterns for GenAI applications.
• Design safeguards against prompt injection, data leakage, unsafe tool execution and unreliable model behaviour.
• Evaluate LLM, retrieval and agent performance through automated metrics, test datasets and regression testing.

Kenntnisse

Python API

LLM platforms

LangChain

Vector databases

Asynchronous frameworks

Ausbildung

Degree in CS/ML/Data Science/Math

Tools

LangGraph

LangChain

LlamaIndex

CrewAI

Jobbeschreibung

Sigma Suisse, based in Plan-les-Ouates, is a recruitment firm specialised in IT and strategic profiles, supporting influential players across French-speaking Switzerland.

Within our IT department, we work on mandates in Commodity and Financial Trading, Pharmaceutical, Aeronautics, Space, Energy, Watchmaking and Swiss foundations.

Artificial Intelligence Engineer

On behalf of our client, a leading international group, we are looking for a Artificial Intelligence Engineer to join their AI platform team in Geneva.

You will design and build the applications, platforms and shared capabilities that allow engineering teams to ship reliable, production ready generative AI solutions. The scope covers LLM platforms, agentic workflows, enterprise knowledge systems and reusable AI services supporting data retrieval, analysis and decision making. This is a hands on engineering role, not an advisory one.

Key responsibilities

• Build RAG services end to end, ingestion, parsing, chunking, indexing, retrieval, reranking, context assembly
• Develop shared platform capabilities for LLM applications, agentic systems and enterprise knowledge solutions
• Define reference architectures, engineering standards and implementation patterns for GenAI applications
• Set interoperability standards across models, tools and agents, including MCP and A2A
• Design agentic workflows interacting safely with internal APIs, databases, search systems and third party services
• Define standards for tool contracts, structured outputs, context management, prompting, model selection and routing
• Create reusable components, APIs and libraries for product and forward deployed engineering teams
• Evaluate LLM, retrieval and agent performance through automated metrics, test datasets, regression testing and human review
• Design safeguards against prompt injection, data leakage, unsafe tool execution and unreliable model behaviour
• Arbitrate technical trade offs across model quality, latency, cost, observability and resilience

Required experience

• Strong software engineering fundamentals, production systems designed, tested, deployed and operated
• Proven delivery of LLM based applications or AI platforms in production, not proof of concept only
• Python API and service development, ideally with modern asynchronous frameworks
• Foundation model APIs and platforms, OpenAI, Anthropic, Google Vertex AI or AWS Bedrock
• Agent frameworks and orchestration tools, LangGraph, LangChain, LlamaIndex, CrewAI or equivalent
• Vector databases, lexical and semantic search, hybrid retrieval and reranking
• LLM evaluation, observability, tracing and regression testing
• Cloud deployment, containerisation and operation of production AI services
• Degree in computer science, machine learning, AI, data science, mathematics, statistics or equivalent experience
• Experience in a regulated, security sensitive or data intensive enterprise environment is an advantage
• Fluent English, work permit or eligibility to work in Switzerland