akirolabs
Senior AI Engineer(m/w/x)
Full-timeWith HomeofficeSenior
Berlin
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Building single- and multi-agent production systems for reputational risk DaaS, ensuring regulated-industry compliance. 2-3 years building AI agents in production required. Flexible hours, hybrid model, work abroad allowance.
Requirements
- 5+ years software engineering experience
- 2-3 years building AI agents in production
- Experience in regulated industries (finance, legal, healthcare)
- Master’s degree or higher in CS, Engineering, Statistics, or related STEM
- Equivalent practical experience
- Hands-on experience with LangChain and LangGraph
- Experience with agent planning, memory, tool-use, multi-agent patterns
- Experience building and operating MCP servers with FastMCP
- Experience with MCP on Databricks or Snowflake platforms
- Experience with secure schemas, authentication, role-based permissions
- Expert-level Python skills
- Backend systems engineering fundamentals
- API engineering fundamentals
- Data pipelines engineering fundamentals
- FastAPI experience
- Postgres / SQLAlchemy experience
- gRPC experience
- async IO experience
- Databricks experience
- Testing experience
- Proficiency with LLM observability platforms
- Proficiency with LLM evaluation frameworks
- Performance profiling experience
- Optimization techniques for AI systems
- Solid understanding of software design principles (SOLID, DRY, KISS)
- Solid understanding of Clean Code
- Solid understanding of common architecture patterns
- Ability to translate design principles into maintainable code
- High sense of product ownership
- Full responsibility for assigned work end-to-end
- Support Tech Lead and PM in discoveries
- Proposing improvements to existing services
- Showing initiative
- Strong responsiveness and reliability
- Staying on top of latest AI engineering best practices
- Sharing AI engineering knowledge across the team
- Hands-on experience with AWS Bedrock
- Hands-on experience with Bedrock AgentCore
- Experience with managed agent deployments and tool orchestration
- Experience running containerized workloads on Kubernetes in production
- Experience with classical ML / LLM engineering on large datasets
- Experience with fine-tuning, retrieval, summarization pipelines
- Experience building software with coding agents (Claude Code, Cursor)
- Leveraging coding agents to accelerate delivery
- Experience mentoring engineers
- Providing constructive feedback to engineers
- Valid work permit
Tasks
- Design and build single- and multi-agent production systems
- Ensure systems meet regulated-industry compliance and auditability standards
- Build and operate MCP servers using FastMCP and platform providers
- Implement secure schemas and role-based permissions
- Develop agentic workflows using LangChain and LangGraph
- Engineer robust prompts, tool-use, and multi-agent coordination
- Implement testing, evaluation, monitoring, and observability practices
- Develop and maintain LLM-powered microservices and APIs
- Integrate microservices and APIs into broader production applications
- Identify and adopt state-of-the-art advancements in LLMs and agent architectures
- Collaborate with Product Manager, Tech Lead, and domain experts
- Align technical solutions with user needs and business goals
- Support discovery and propose improvements
- Show initiative beyond assigned scope
Work Experience
- 5 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- FastAPI
- Postgres
- SQLAlchemy
- gRPC
- async IO
- Databricks
- LangChain
- LangGraph
- FastMCP
- Snowflake
- LangSmith
- LangFuse
- AWS Bedrock
- Bedrock AgentCore
- Kubernetes
- Claude Code
- Cursor
Benefits
Flexible Working
- Flexible working hours
- Hybrid model
- Home office days
Additional Allowances
- Work abroad allowance
Learning & Development
- Paid training days
Purpose-Driven Work
- Paid volunteering days
Social Impact
- Charity donation matching
Healthcare & Fitness
- Health & fitness subsidy
Team Events
- Team events
- Social events
Snacks & Drinks
- Complimentary coffee
- Complimentary refreshments
- Fresh fruit
- Healthy snacks
Other Benefits
- Diversity and inclusion
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of RepRisk AG and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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Senior AI Engineer(m/w/x)
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Building single- and multi-agent production systems for reputational risk DaaS, ensuring regulated-industry compliance. 2-3 years building AI agents in production required. Flexible hours, hybrid model, work abroad allowance.
Requirements
- 5+ years software engineering experience
- 2-3 years building AI agents in production
- Experience in regulated industries (finance, legal, healthcare)
- Master’s degree or higher in CS, Engineering, Statistics, or related STEM
- Equivalent practical experience
- Hands-on experience with LangChain and LangGraph
- Experience with agent planning, memory, tool-use, multi-agent patterns
- Experience building and operating MCP servers with FastMCP
- Experience with MCP on Databricks or Snowflake platforms
- Experience with secure schemas, authentication, role-based permissions
- Expert-level Python skills
- Backend systems engineering fundamentals
- API engineering fundamentals
- Data pipelines engineering fundamentals
- FastAPI experience
- Postgres / SQLAlchemy experience
- gRPC experience
- async IO experience
- Databricks experience
- Testing experience
- Proficiency with LLM observability platforms
- Proficiency with LLM evaluation frameworks
- Performance profiling experience
- Optimization techniques for AI systems
- Solid understanding of software design principles (SOLID, DRY, KISS)
- Solid understanding of Clean Code
- Solid understanding of common architecture patterns
- Ability to translate design principles into maintainable code
- High sense of product ownership
- Full responsibility for assigned work end-to-end
- Support Tech Lead and PM in discoveries
- Proposing improvements to existing services
- Showing initiative
- Strong responsiveness and reliability
- Staying on top of latest AI engineering best practices
- Sharing AI engineering knowledge across the team
- Hands-on experience with AWS Bedrock
- Hands-on experience with Bedrock AgentCore
- Experience with managed agent deployments and tool orchestration
- Experience running containerized workloads on Kubernetes in production
- Experience with classical ML / LLM engineering on large datasets
- Experience with fine-tuning, retrieval, summarization pipelines
- Experience building software with coding agents (Claude Code, Cursor)
- Leveraging coding agents to accelerate delivery
- Experience mentoring engineers
- Providing constructive feedback to engineers
- Valid work permit
Tasks
- Design and build single- and multi-agent production systems
- Ensure systems meet regulated-industry compliance and auditability standards
- Build and operate MCP servers using FastMCP and platform providers
- Implement secure schemas and role-based permissions
- Develop agentic workflows using LangChain and LangGraph
- Engineer robust prompts, tool-use, and multi-agent coordination
- Implement testing, evaluation, monitoring, and observability practices
- Develop and maintain LLM-powered microservices and APIs
- Integrate microservices and APIs into broader production applications
- Identify and adopt state-of-the-art advancements in LLMs and agent architectures
- Collaborate with Product Manager, Tech Lead, and domain experts
- Align technical solutions with user needs and business goals
- Support discovery and propose improvements
- Show initiative beyond assigned scope
Work Experience
- 5 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- FastAPI
- Postgres
- SQLAlchemy
- gRPC
- async IO
- Databricks
- LangChain
- LangGraph
- FastMCP
- Snowflake
- LangSmith
- LangFuse
- AWS Bedrock
- Bedrock AgentCore
- Kubernetes
- Claude Code
- Cursor
Benefits
Flexible Working
- Flexible working hours
- Hybrid model
- Home office days
Additional Allowances
- Work abroad allowance
Learning & Development
- Paid training days
Purpose-Driven Work
- Paid volunteering days
Social Impact
- Charity donation matching
Healthcare & Fitness
- Health & fitness subsidy
Team Events
- Team events
- Social events
Snacks & Drinks
- Complimentary coffee
- Complimentary refreshments
- Fresh fruit
- Healthy snacks
Other Benefits
- Diversity and inclusion
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of RepRisk AG and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
RepRisk AG
Industry
IT
Description
RepRisk is the world’s most respected Data as a Service (DaaS) company for reputational risks and responsible business conduct.
Not a perfect match?
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