Dein persönlicher KI-Karriere-Agent
Senior Full Stack Engineer(m/w/x)
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.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- 4 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- TypeScript
- React
- FastAPI
- Postgres
- Redis
- Kubernetes
- shadcn/ui
- Material UI
- Claude Code
- Cursor
- LangGraph
- Langfuse
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Senior Full Stack Engineer(m/w/x)
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.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- 4 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- TypeScript
- React
- FastAPI
- Postgres
- Redis
- Kubernetes
- shadcn/ui
- Material UI
- Claude Code
- Cursor
- LangGraph
- Langfuse
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
Hawk
Branche
FinancialServices
Beschreibung
The company is the leading provider of AI-supported anti-money laundering and fraud detection technology.
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