Senior AI Engineer

RepRisk AG is seeking a Senior AI Engineer in Zürich for a hybrid role. The position focuses on building agentic AI systems for responsible business conduct within a regulated environment.

This position sits within RepRisk’s Agentic delivery team and centers on developing cutting-edge agentic AI solutions. The engineer will work on impactful projects that bridge autonomous AI technologies with responsible business conduct, operating in a highly regulated industry context.

Responsibilities

• Architect and develop production-grade single and multi-agent systems featuring planning, memory, and tool-use capabilities that adhere to strict compliance and auditability standards.
• Create and manage MCP (Model Context Protocol) servers utilizing FastMCP and platforms like Databricks or Snowflake, ensuring secure schemas and role-based access controls.
• Engineer agentic workflows using LangChain and LangGraph, implementing robust prompt engineering, tool integration, and multi-agent coordination strategies.
• Establish testing, evaluation, monitoring, and observability practices for production agent systems, leveraging tools like LangSmith or LangFuse for structured tracing and offline/online assessments.
• Develop, integrate, and maintain LLM-powered microservices and APIs (Python, FastAPI, gRPC, Postgres) within broader AWS-deployed production applications.
• Research, test, and integrate state-of-the-art LLM and autonomous agent advancements, including reflection, planning, multi-agent coordination, and AWS Bedrock/AgentCore.
• Collaborate with Product Managers, Tech Leads, and domain experts to align technical outputs with user needs and business objectives, demonstrating initiative and supporting discovery efforts.

Requirements

• Minimum 5 years of software engineering experience, including 2-3 years in production AI agent development, preferably within regulated sectors like finance, legal, or healthcare.
• Master’s degree or higher in Computer Science, Engineering, Statistics, or a related STEM discipline, or equivalent practical experience.
• Extensive hands-on experience developing agents with LangChain and LangGraph (or similar frameworks), covering planning, memory, tool-use, and multi-agent patterns.
• Proven track record of building and operating MCP servers using FastMCP or platforms like Databricks/Snowflake, with secure schemas, authentication, and role-based permissions.
• Expert-level Python proficiency with strong backend engineering fundamentals (FastAPI, Postgres/SQLAlchemy, gRPC, async IO, Databricks, testing).
• Proficiency in observability platforms and evaluation frameworks for LLM applications (LangSmith, LangFuse), including performance profiling and optimization techniques.
• Solid grasp of software design principles (SOLID, DRY, KISS), Clean Code, and common architecture patterns, with the ability to write maintainable production code.
• Strong product ownership mindset, taking end-to-end responsibility for assigned work, supporting discovery with the Tech Lead and PM, proposing improvements, and demonstrating reliability.
• Commitment to staying current with AI engineering best practices and sharing knowledge across the team.

Nice to have

• Hands-on experience with AWS Bedrock and Bedrock AgentCore for managed agent deployments and tool orchestration.
• Experience running containerized workloads on Kubernetes in production.
• Background in classical ML/LLM engineering on large datasets, including fine-tuning, retrieval, and summarization pipelines over ESG-scale corpora.
• Experience building software solutions using coding agents (Claude Code, Cursor, etc.) to accelerate delivery.
• Experience mentoring engineers and providing constructive feedback.

What the company offers

• Flexible working hours and a hybrid work model including home office days.
• Opportunity to work abroad for up to 4 weeks per year, subject to policy and approvals.
• Paid training and volunteering days, plus charity donation matching.
• Health & fitness subsidy to support well-being.
• Frequent team and social events to connect the global community.
• Welcoming office environment with complimentary coffee, refreshments, fresh fruit, and healthy snacks.
• A company that embraces diversity and values different perspectives.

About the company

RepRisk operates as a diverse, multicultural, and mission-driven organization where employee impact is highly valued. The workplace fosters openness, respect, work-life balance, intellectual honesty, humility, and operational excellence. Employees are encouraged to exercise autonomy and bring innovative ideas to life in an inclusive, feedback-oriented environment.

• Diverse, multicultural, and mission-driven workplace.
• Values openness, respect, and work-life balance.
• Emphasizes intellectual honesty, humility, and operational excellence.
• Encourages autonomy and innovation in an inclusive, feedback-oriented environment.