Senior AI Engineer

Position

Vollzeit

Festanstellung

Senior

Softwareentwicklung

Konditionen

Zurich, Canton of Zurich, Switzerland

Hybrid

80–100%

Anforderungen

5+ J. Erfahrung

Master

EU/EFTA-Bewilligung

Beschreibung

As our new Senior AI Engineer, you will play a crucial role in developing state-of-the-art agentic systems and AI integrations within RepRisk’s Agentic delivery team. You will contribute to the design, implementation and operation of agentic and AI products within the company. Moreover, you will be:

Designing and building single- and multi-agent production systems with planning, memory, and tool-use capabilities that meet regulated-industry compliance and auditability standards.
Building and operating MCP (Model Context Protocol) servers using FastMCP and platform providers such as Databricks or Snowflake, with secure schemas and role-based permissions.
Developing agentic workflows using LangChain and LangGraph, with robust prompt engineering, tool-use, and multi-agent coordination patterns.
Implementing testing, evaluation, monitoring, and observability best practices for production agent systems (LangSmith / LangFuse, structured tracing, offline and online evaluation).
Developing, integrating, and maintaining LLM-powered microservices and APIs (Python, FastAPI, gRPC, Postgres) as part of broader production applications deployed on AWS.
Identifying, testing, and adopting state-of-the-art advancements in LLMs and autonomous agent architectures (e.g. reflection, planning, multi-agent coordination, AWS Bedrock and Bedrock AgentCore).
Collaborating closely with the Product Manager, Tech Lead, and domain experts to align technical solutions with user needs and business goals; supporting discovery, proposing improvements, and showing initiative beyond the assigned scope.

Aufgaben

Developing state-of-the-art agentic systems and AI integrations
Designing and building single- and multi-agent production systems
Building and operating MCP servers using FastMCP
Developing agentic workflows using LangChain and LangGraph
Implementing testing, evaluation, monitoring, and observability best practices
Developing, integrating, and maintaining LLM-powered microservices and APIs
Identifying, testing, and adopting advancements in LLMs and autonomous agent architectures
Collaborating closely with the Product Manager, Tech Lead, and domain experts

Anforderungen

5+ years of hands-on software engineering experience
2-3 years building AI agents in production environments
A Master’s degree or higher in Computer Science, Engineering, Statistics, or a related STEM field
Strong hands-on experience building agents with LangChain and LangGraph
Proven experience building and operating MCP servers using FastMCP
Expert-level Python skills and strong engineering fundamentals
Proficiency with observability platforms and evaluation frameworks for LLM applications
Solid understanding of software design principles
High sense of product ownership and responsibility
Stays on top of the latest best practices in AI engineering

Technologien

LangChainLangGraphFastMCPDatabricksSnowflakePythonFastAPIgRPCPostgres

Vorteile

Flexible working hours and a hybrid model
Up to 4 weeks per year working abroad
Paid training and volunteering days
Health & fitness subsidy
Frequent team and social events
A welcoming office environment with complimentary coffee and snacks
A company that embraces diversity and values different perspectives

Unternehmen

repriskag

Data as a Service

RepRisk is the world’s most respected Data as a Service (DaaS) company for reputational risks and responsible business conduct. Our mission is to provide transparency on business conduct risks to drive positive change. Combining advanced AI with deep human expertise, and a proven methodology at the core, RepRisk’s solutions bring performance and peace of mind, enabling clients to know more, be sure, and act faster. With our values of intellectual honesty and humility, operational excellence, and openness and respect, our diverse teams of talented experts are pioneering solutions that enable clients to make better informed decisions. Headquartered in Zurich, and with offices in Toronto, New York, London, Berlin, Manila, and Tokyo, we stay close to clients and bring an independent lens to the industry. United by our shared belief in the power of data, our 400 people are proud to be setting the global standard for business conduct data and driving positive and meaningful change through transparency.