Job
- Level
- Senior
- Job Feld
- Software, Data
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Ort
- Berlin
- Arbeitsmodell
- Hybrid, Onsite
Job Zusammenfassung
In dieser Rolle entwickelst du fortschrittliche agentische Systeme und Künstliche Intelligenz, baust Produktionssysteme und APIs, sowie MCP-Server und implementierst Best Practices für KI-Anwendungen.
Job Technologien
Deine Rolle im Team
- 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.
- 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.
Unsere Erwartungen an dich
Ausbildung
- A Master's degree or higher in Computer Science, Engineering, Statistics, or a related STEM field (or equivalent practical experience).
Qualifikationen
- Expert-level Python skills and strong engineering fundamentals across backend systems, APIs, and data pipelines (FastAPI, Postgres / SQLAlchemy, gRPC, async IO, Databricks, testing).
- Proficiency with observability platforms and evaluation frameworks for LLM applications (e.g. LangSmith, LangFuse), performance profiling, and optimization techniques for AI systems.
- Solid understanding of software design principles (SOLID, DRY, KISS), Clean Code, and common architecture patterns; ability to translate them into maintainable production code.
- High sense of product ownership, taking full responsibility for assigned work end-to-end, supporting the Tech Lead and PM in discoveries, proposing improvements to existing services, and showing initiative. Strong responsiveness and reliability.
- Stays on top of the latest best practices in AI engineering and shares knowledge across the team.
Erfahrung
- 5+ years of hands-on software engineering experience, with 2-3 years building AI agents in production environments, ideally for high-stakes or regulated industries (finance, legal, healthcare, etc.).
- Strong hands-on experience building agents with LangChain and LangGraph (or equivalent orchestration frameworks) - including planning, memory, tool-use, and multi-agent patterns.
- Proven experience building and operating MCP (Model Context Protocol) servers using FastMCP, or on platform providers such as Databricks or Snowflake, with secure schemas, authentication, and role-based permissions.
- Hands-on experience with AWS Bedrock and Bedrock AgentCore for managed agent deployments and tool orchestration.
- Experience running containerized workloads on Kubernetes in production.
- Experience with classical ML / LLM engineering on large datasets - fine-tuning, retrieval, and summarization pipelines over ESG-scale corpora.
- Experience building software solutions with the support of coding agents (Claude Code, Cursor, etc.) and leveraging them to accelerate delivery.
- Experience mentoring engineers and providing thoughtful, constructive feedback.
Unser Angebot
- 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.
- Flexible working hours and 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 subsidy to 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.
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
Reprisk's Agentic
RepRisk AG, ein führendes Schweizer Technologieunternehmen, bietet innovative Datenplattformen für Reputations- und ESG-Risiken. Das Unternehmen hat seinen Hauptsitz in Zürich und betreibt Büros in Berlin, London und New York, um globale Kunden zu unterstützen.
Description
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Internet, IT, Telekom
Senior AI Engineer
- Ort
- Berlin
- Arbeitsmodell
- Hybrid, Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
- Nur Englisch
- Nur Englisch erforderlich
