Hawk
Senior Full Stack Engineer(m/w/x)
Full-timeRemoteSenior
München
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Architecting agentic systems for AI-powered fraud detection, designing workflows in LangGraph. Deep backend Python expertise and shipping production systems required. Work on multi-step reasoning, agent memory, and orchestration patterns.
Requirements
- 5+ years professional software engineering experience
- Deep backend expertise in Python
- Track record shipping production systems
- Designing and building agentic systems
- Experience with multi-step workflows, tool use, context management, memory, evaluation
- Experience in LangGraph, other frameworks, or from scratch
- Strong intuitions about context engineering
- Strong intuitions about prompt design
- Strong intuitions about eval design
- Understanding LLM system failure modes
- Understanding reliability at scale
- Solid backend engineering fundamentals
- Experience with FastAPI or equivalent
- Experience with Postgres
- Experience with Redis
- Experience with Kubernetes
- Experience with observability
- Operational discipline to run in production
- Hands-on fluency with agentic coding tools
- Understanding of agentic coding tool capabilities and limitations
- Excellent holistic thinking
- Excellent problem-solving skills
- Ability to shape product and architecture
- Excellent communication skills
- Collaborative mindset
- Articulating technical trade-offs
- Production experience with Langfuse or equivalent LLM tooling
- Prior experience in Anti-Financial Crime domain
- Deep curiosity to learn AML, fraud, compliance domain
- Shipped agentic products to real users in production
- Understanding of production agentic system reliability
Tasks
- Architect and build agentic systems for the Investigation Agent
- Design workflows in LangGraph
- Integrate and design tools for multi-step reasoning
- Manage agent memory and orchestration patterns
- Engineer context for the agent
- Ensure context is structured and timely
- Develop feedback loops and evaluation harnesses
- Implement tracing infrastructure for agent development
- Make architectural decisions on agent state and workflows
- Handle failure recovery and safe deployment of agent changes
- Optimize latency and cost at scale
- Perform end-to-end backend engineering
- Work with Python, FastAPI, Postgres, Redis, Kubernetes
- Collaborate with Product/UX, Data Science, and Engineering
- Advocate for feasible features with current models and frameworks
- Champion AI-native engineering workflows
- Use agentic coding tools daily
- Automate repetitive tasks
- Establish testing and evaluation practices for agents
- Develop deployment and monitoring strategies
- Determine trustworthiness criteria for agents
Work Experience
- 5 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- LangGraph
- FastAPI
- Postgres
- Redis
- Kubernetes
- Claude Code
- Cursor
- Langfuse
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Hawk 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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Architecting agentic systems for AI-powered fraud detection, designing workflows in LangGraph. Deep backend Python expertise and shipping production systems required. Work on multi-step reasoning, agent memory, and orchestration patterns.
Requirements
- 5+ years professional software engineering experience
- Deep backend expertise in Python
- Track record shipping production systems
- Designing and building agentic systems
- Experience with multi-step workflows, tool use, context management, memory, evaluation
- Experience in LangGraph, other frameworks, or from scratch
- Strong intuitions about context engineering
- Strong intuitions about prompt design
- Strong intuitions about eval design
- Understanding LLM system failure modes
- Understanding reliability at scale
- Solid backend engineering fundamentals
- Experience with FastAPI or equivalent
- Experience with Postgres
- Experience with Redis
- Experience with Kubernetes
- Experience with observability
- Operational discipline to run in production
- Hands-on fluency with agentic coding tools
- Understanding of agentic coding tool capabilities and limitations
- Excellent holistic thinking
- Excellent problem-solving skills
- Ability to shape product and architecture
- Excellent communication skills
- Collaborative mindset
- Articulating technical trade-offs
- Production experience with Langfuse or equivalent LLM tooling
- Prior experience in Anti-Financial Crime domain
- Deep curiosity to learn AML, fraud, compliance domain
- Shipped agentic products to real users in production
- Understanding of production agentic system reliability
Tasks
- Architect and build agentic systems for the Investigation Agent
- Design workflows in LangGraph
- Integrate and design tools for multi-step reasoning
- Manage agent memory and orchestration patterns
- Engineer context for the agent
- Ensure context is structured and timely
- Develop feedback loops and evaluation harnesses
- Implement tracing infrastructure for agent development
- Make architectural decisions on agent state and workflows
- Handle failure recovery and safe deployment of agent changes
- Optimize latency and cost at scale
- Perform end-to-end backend engineering
- Work with Python, FastAPI, Postgres, Redis, Kubernetes
- Collaborate with Product/UX, Data Science, and Engineering
- Advocate for feasible features with current models and frameworks
- Champion AI-native engineering workflows
- Use agentic coding tools daily
- Automate repetitive tasks
- Establish testing and evaluation practices for agents
- Develop deployment and monitoring strategies
- Determine trustworthiness criteria for agents
Work Experience
- 5 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- LangGraph
- FastAPI
- Postgres
- Redis
- Kubernetes
- Claude Code
- Cursor
- Langfuse
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Hawk 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
Hawk
Industry
FinancialServices
Description
The company is the leading provider of AI-supported anti-money laundering and fraud detection technology.
Not a perfect match?
- Hawk
Senior Full Stack Engineer(m/w/x)
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