Hawk
Senior Agentic Engineer(m/w/x)
Full-timeRemoteSenior
München
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Designing backend systems for AI-powered fraud detection, building FastAPI services, and deploying with Kubernetes. Deep backend expertise and substantial Python/TypeScript experience required. Observability with Langfuse, React frontend development.
Requirements
- 4+ years professional software engineering experience
- Substantial hands-on Python experience
- Substantial hands-on TypeScript/React experience
- Exceptional candidates with 2-3 years experience considered
- Deep backend expertise
- Comfortable operating services on Kubernetes in production
- Understanding of code performance under load
- Strong frontend chops
- Care about UI look and feel
- Ability to build clean, performant UI without supervision
- Genuinely full-stack mindset
- Hands-on fluency with agentic coding tools
- Opinion on agentic coding tools
- Excellent holistic thinking skills
- Excellent problem-solving skills
- Ability to shape product rather than execute tickets
- Excellent communication skills
- Collaborative mindset
- Ability to articulate technical trade-offs
- Production experience with LangGraph or equivalent
- Production experience with Langfuse or equivalent
- Prior experience in Anti-Financial Crime domain
- Deep curiosity to learn Anti-Financial Crime domain fast
Tasks
- Design backend systems for Investigation Agent
- Build FastAPI services and data layers
- Deploy systems using Kubernetes
- Implement Langfuse-based observability and evaluation
- Develop frontend components with React and TypeScript
- Surface agent reasoning and evidence for analysts
- Ensure frontend legibility and explainability
- Own feature development from spec to production
- Build reliable evaluation harnesses and feedback loops
- Ensure model reliability and traceability
- Collaborate with Product, UX, and Data Science teams
- Question and refine feature requirements
- Champion AI-native engineering workflows
- Use agentic coding tools daily
- Automate repetitive tasks
- Establish best practices for testing agents
- Develop deployment and monitoring strategies
- Implement rollback mechanisms for agent misbehavior
Work Experience
- 4 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- TypeScript
- React
- FastAPI
- Postgres
- Redis
- Kubernetes
- shadcn/ui
- Material UI
- Claude Code
- Cursor
- LangGraph
- 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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Designing backend systems for AI-powered fraud detection, building FastAPI services, and deploying with Kubernetes. Deep backend expertise and substantial Python/TypeScript experience required. Observability with Langfuse, React frontend development.
Requirements
- 4+ years professional software engineering experience
- Substantial hands-on Python experience
- Substantial hands-on TypeScript/React experience
- Exceptional candidates with 2-3 years experience considered
- Deep backend expertise
- Comfortable operating services on Kubernetes in production
- Understanding of code performance under load
- Strong frontend chops
- Care about UI look and feel
- Ability to build clean, performant UI without supervision
- Genuinely full-stack mindset
- Hands-on fluency with agentic coding tools
- Opinion on agentic coding tools
- Excellent holistic thinking skills
- Excellent problem-solving skills
- Ability to shape product rather than execute tickets
- Excellent communication skills
- Collaborative mindset
- Ability to articulate technical trade-offs
- Production experience with LangGraph or equivalent
- Production experience with Langfuse or equivalent
- Prior experience in Anti-Financial Crime domain
- Deep curiosity to learn Anti-Financial Crime domain fast
Tasks
- Design backend systems for Investigation Agent
- Build FastAPI services and data layers
- Deploy systems using Kubernetes
- Implement Langfuse-based observability and evaluation
- Develop frontend components with React and TypeScript
- Surface agent reasoning and evidence for analysts
- Ensure frontend legibility and explainability
- Own feature development from spec to production
- Build reliable evaluation harnesses and feedback loops
- Ensure model reliability and traceability
- Collaborate with Product, UX, and Data Science teams
- Question and refine feature requirements
- Champion AI-native engineering workflows
- Use agentic coding tools daily
- Automate repetitive tasks
- Establish best practices for testing agents
- Develop deployment and monitoring strategies
- Implement rollback mechanisms for agent misbehavior
Work Experience
- 4 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- TypeScript
- React
- FastAPI
- Postgres
- Redis
- Kubernetes
- shadcn/ui
- Material UI
- Claude Code
- Cursor
- LangGraph
- 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.
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