Senior AI Engineer

Rep Risk 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, Rep Risk’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.

We offer

We offer a diverse, multicultural, and mission‑driven workplace where your impact truly matters. You’ll join a collaborative team that values openness, respect, and work–life balance.

What you can expect:

• Flexible working hoursand a hybrid model(with home office days).
• Up to 4 weeks per year working abroad, subject to policy and approvals.
• Paid training and volunteering days, plus charity donation matching.
• Health & fitness subsidyto support your well‑being.
• Frequent team and social events that bring our global community together.
• A welcoming office environment with complimentary coffee, refreshments, fresh fruit, and healthy snacks.
• A company that embraces diversity and values different perspectives.

About You

Are you looking for an opportunity to work on meaningful, cutting‑edge projects at the intersection of agentic AI and responsible business conduct? Did you wonder what it would be like to work at a company where your contribution has a real, measurable impact - and you are rewarded for it?

If you have a passion for building production‑grade AI agents, MCP‑based tool ecosystems, and data‑rich AI workflows, then this is the perfect role for you! We value autonomy, allowing you to bring your innovative ideas to fruition in an inclusive, feedback‑oriented environment. Your work on agentic systems will directly contribute to advancing gloabl corporate responsibility through technology.

Your Responsibilities

As our new Senior AI Engineer, you will play a crucial role in developing state‑of‑the‑art agentic systems and AI integrations within Rep Risk’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 Lang Chain and Lang Graph, with robust prompt engineering, tool‑use, and multi‑agent coordination patterns.
• Implementing testing, evaluation, monitoring, and observability best practices for production agent systems (Lang Smith / Lang Fuse, 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 Agent Core).
• 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.

You Offer

• Experience: 5+ years of hands‑on software engineering experience, with 2-3 years building AI…