Artificial Intelligence Engineer

Sigma Suisse; Genf; On-site; CHF 120,000 - 180,000; Full time

Job summary

Sigma Suisse, based in Plan-les-Ouates, is assisting a leading international group in Geneva to find an Artificial Intelligence Engineer for their AI platform team. You will design and build production-ready generative AI solutions.

This hands-on engineering role focuses on LLM platforms, agentic workflows, enterprise knowledge systems and reusable AI services across data retrieval, analysis and decision making.

Qualifications

• Strong software engineering fundamentals with production systems
• Delivery of LLM-based applications or AI platforms in production, not just PoC
• Proficiency in Python API and service development
• Experience with foundation model APIs and platforms (OpenAI, Anthropic, Vertex AI, AWS Bedrock)
• Familiarity with agent frameworks and orchestration tools (LangGraph, LangChain, LlamaIndex, CrewAI)
• Experience with vector databases, semantic search, retrieval and reranking
• Knowledge of containerisation and production AI deployment
• Degree in CS/ML/Math/Data Science or equivalent

Responsibilities

• Build RAG services end to end (ingestion, parsing, indexing, retrieval, reranking)
• Develop platform capabilities for LLM applications and enterprise knowledge solutions
• Define architectures, standards, and patterns for GenAI applications
• Set interoperability standards across models, tools, and agents
• Design agentic workflows interacting with internal APIs, databases and third-party services
• Create reusable components, APIs and libraries for engineering teams
• Evaluate LLM, retrieval and agent performance with metrics, datasets and tests
• Implement safeguards against prompt injection and data leakage
• Arbitrate trade-offs across model quality, latency, cost and resilience
• Collaborate with security and compliance in regulated environments

Skills

Strong software engineering

LLM-based application delivery

Python API development

OpenAI LangChain experience

Cloud deployment/containers

English fluency

Education

Degree in Computer Science or related field

Tools

LangGraph

LangChain

LlamaIndex

CrewAI

OpenAI API

Vertex/Bedrock platforms

Job description

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