AI Lead Engineer for Banking Technology
USD 176K-265K Senior-level Full Time
Tasks
- Build full stack applications integrating ML and LLM tools
- Deploy AI solutions with scalable and secure engineering practices
- Design and implement agentic AI frameworks
- Develop and deploy generative AI solutions for banking use cases
- Develop robust AI service APIs
- Implement AI evaluation metrics and performance monitoring
- Integrate autonomous AI and multi agent systems
- Lead technical architecture and guide engineering teams
- Prototype and deploy AI MVPs using experiments and A B testing
Perks/Benefits
Skills/Tech-stack
API first | Agent systems | Agile | Angular | Autogen | CI/CD | CrewAI | Django | Docker | Event Driven | Event-driven architecture | FastAPI | Flask | Git | Java | Kubernetes | LLM orchestration | Langchain | Language Models | Large Language Models | Machine Learning | Microservices | Model Context Protocol | MongoDB | Multi-Agent | Multi-Agent Systems | N8n | Next.js | Node.js | NumPy | Oracle | Pandas | Postgres | PySpark | PyTorch | Python | React | Scikit-learn | Spring Boot | Spring Cloud | Spring Security | System design | TensorFlow | Testing | TypeScript
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer | Full Stack | Full Stack Engineer
Regions
Countries
States
Cities
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