RepRisk AG
Senior AI Engineer(m/w/x)
Full-timeWith HomeofficeSenior
Berlin
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AWAwin
Senior AI Engineer(m/w/x)
Berlin, Hannover, München
Full-timeWith Home OfficeSenior
AI/ML
Nejo AI Summary
Designing and operating customer-facing AI features, architecting agent-based systems for reasoning and tool execution. Deep experience with LLM and agent-based architectures required. Flexible four-day work week, monthly remote allowance.
Requirements
- 8+ years professional software engineering experience
- Track record of shipping production systems
- Strong Python and backend system design
- Hands-on experience building production LLM systems
- Deep experience with agent-based architectures
- Experience with LangGraph, Deep Agents, or equivalents
- Experience with multi-step reasoning, tool use, sub-agent orchestration
- Experience with state and streaming in agentic systems
- Strong working knowledge of retrieval and context construction
- Good judgement using RAG, embeddings, chunking, ranking
- Solid track record evaluating and debugging AI systems
- Experience with structured evals, regression tests, tracing, observability
- Experience with LangSmith or similar observability tools
- Familiarity with emerging agent orchestration standards
- Experience with vector databases and hybrid retrieval
- Clear understanding of LLM failure modes
- Knowledge of mitigating prompt injection, content safety, context leakage
- Strong fundamentals in distributed systems
- Strong fundamentals in API design
- Strong fundamentals in cloud-native architectures on AWS
- Confident with PostgreSQL
- Confident with Redis
- Confident with Docker
- Confident with modern CI/CD pipelines
- Experience with GitHub Actions
- Collaborative engineer
- Comfortable working in a Scrum team
- Comfortable working with Product, UX, and cross-functional teams
- Experience with experimentation frameworks
- Experience with A/B testing
- Experience with offline-to-online metric correlation
- Cost-aware AI engineering at production scale
- Monitoring token usage
- Strategies for model selection, caching, and routing
- Predicting latency and spend as traffic grows
Tasks
- Design and build customer-facing AI features
- Operate AI features from conversational experiences to intelligent automation
- Architect agent-based systems for multi-step reasoning and tool execution
- Orchestrate sub-agent state management and streaming
- Develop structured outputs and persistent memory
- Implement human-in-the-loop approval flows
- Decide on system grounding, retrieval, and context construction
- Select appropriate patterns for each problem and defend choices
- Treat prompt and context engineering as core engineering tasks
- Own AI quality by building evaluation datasets and regression tests
- Develop debugging discipline for model outputs, retrieval, and tool calls
- Ensure AI production readiness with observability and tracing
- Optimize AI for reliability, cost, and latency
- Implement safety controls against hallucination, prompt injection, and context leakage
- Explain trade-offs between accuracy, latency, cost, and safety
- Partner with Product Trio to shape product direction
- Convert ambiguous product ideas into concrete technical designs
- Influence product roadmap with technological possibilities
- Mentor engineers and contribute to design reviews
- Raise hiring standards and production-ready AI practices
Work Experience
- 8 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- LangGraph
- Deep Agents
- LangSmith
- AWS
- ECS
- Lambda
- S3
- API Gateway
- PostgreSQL
- Redis
- Docker
- GitHub Actions
- RAG
- embeddings
- chunking
- ranking
- vector databases
- hybrid retrieval
Benefits
Flexible Working
- Flexible four-day Flexi-Week
- Remote workspace setup support
- Flexi-Office
- Hybrid/remote work possibilities
Competitive Pay
- Full pay
More Vacation Days
- Variety of paid special leaves
Additional Allowances
- Monthly remote working allowance
- Meal vouchers
Healthcare & Fitness
- Health insurance
- Vision insurance
- Dental insurance
Family Support
- Family member insurance coverage
Ergonomic Workplace
- Remote working furniture package
Corporate Discounts
- Peer-to-peer voucher program
Learning & Development
- Access to learning platforms
Team Events
- Hackathons
Other Benefits
- Cross-team initiatives
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Awin 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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AWAwin
Senior AI Engineer(m/w/x)
Berlin, Hannover, München
Full-timeWith Home OfficeSenior
AI/ML
Nejo AI Summary
Designing and operating customer-facing AI features, architecting agent-based systems for reasoning and tool execution. Deep experience with LLM and agent-based architectures required. Flexible four-day work week, monthly remote allowance.
Requirements
- 8+ years professional software engineering experience
- Track record of shipping production systems
- Strong Python and backend system design
- Hands-on experience building production LLM systems
- Deep experience with agent-based architectures
- Experience with LangGraph, Deep Agents, or equivalents
- Experience with multi-step reasoning, tool use, sub-agent orchestration
- Experience with state and streaming in agentic systems
- Strong working knowledge of retrieval and context construction
- Good judgement using RAG, embeddings, chunking, ranking
- Solid track record evaluating and debugging AI systems
- Experience with structured evals, regression tests, tracing, observability
- Experience with LangSmith or similar observability tools
- Familiarity with emerging agent orchestration standards
- Experience with vector databases and hybrid retrieval
- Clear understanding of LLM failure modes
- Knowledge of mitigating prompt injection, content safety, context leakage
- Strong fundamentals in distributed systems
- Strong fundamentals in API design
- Strong fundamentals in cloud-native architectures on AWS
- Confident with PostgreSQL
- Confident with Redis
- Confident with Docker
- Confident with modern CI/CD pipelines
- Experience with GitHub Actions
- Collaborative engineer
- Comfortable working in a Scrum team
- Comfortable working with Product, UX, and cross-functional teams
- Experience with experimentation frameworks
- Experience with A/B testing
- Experience with offline-to-online metric correlation
- Cost-aware AI engineering at production scale
- Monitoring token usage
- Strategies for model selection, caching, and routing
- Predicting latency and spend as traffic grows
Tasks
- Design and build customer-facing AI features
- Operate AI features from conversational experiences to intelligent automation
- Architect agent-based systems for multi-step reasoning and tool execution
- Orchestrate sub-agent state management and streaming
- Develop structured outputs and persistent memory
- Implement human-in-the-loop approval flows
- Decide on system grounding, retrieval, and context construction
- Select appropriate patterns for each problem and defend choices
- Treat prompt and context engineering as core engineering tasks
- Own AI quality by building evaluation datasets and regression tests
- Develop debugging discipline for model outputs, retrieval, and tool calls
- Ensure AI production readiness with observability and tracing
- Optimize AI for reliability, cost, and latency
- Implement safety controls against hallucination, prompt injection, and context leakage
- Explain trade-offs between accuracy, latency, cost, and safety
- Partner with Product Trio to shape product direction
- Convert ambiguous product ideas into concrete technical designs
- Influence product roadmap with technological possibilities
- Mentor engineers and contribute to design reviews
- Raise hiring standards and production-ready AI practices
Work Experience
- 8 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- LangGraph
- Deep Agents
- LangSmith
- AWS
- ECS
- Lambda
- S3
- API Gateway
- PostgreSQL
- Redis
- Docker
- GitHub Actions
- RAG
- embeddings
- chunking
- ranking
- vector databases
- hybrid retrieval
Benefits
Flexible Working
- Flexible four-day Flexi-Week
- Remote workspace setup support
- Flexi-Office
- Hybrid/remote work possibilities
Competitive Pay
- Full pay
More Vacation Days
- Variety of paid special leaves
Additional Allowances
- Monthly remote working allowance
- Meal vouchers
Healthcare & Fitness
- Health insurance
- Vision insurance
- Dental insurance
Family Support
- Family member insurance coverage
Ergonomic Workplace
- Remote working furniture package
Corporate Discounts
- Peer-to-peer voucher program
Learning & Development
- Access to learning platforms
Team Events
- Hackathons
Other Benefits
- Cross-team initiatives
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Awin 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.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Awin
Industry
IT
Description
Das Unternehmen Awin ist stolz auf eine dynamische, soziale und inklusive Kultur und strebt danach, das weltweit führende offene Partner-Ökosystem aufzubauen.
Not a perfect match?
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