Full Stack Engineer AI Enabled
Core
Design, build, and support end-to-end banking applications integrating Large Language Models (LLMs), RAG pipelines, and agentic AI workflows for client onboarding, payments, and decision support.
Role type
Senior Full Stack Engineer (AI Enabled)
Builds
Resilient microservices, APIs, and user-facing applications for core banking and client onboarding platforms.
Domain
Banking / Financial Services + Generative AI / LLMs
Deliverable
production ML models | product features
Required skills
Java, Node.js, Python, React, Angular, System Design, API Development, LLM API integration, Prompt Engineering, RAG implementation, Vector Search, Agentic AI workflows, Cloud-native architecture, CI/CD, Observability, Security controls (prompt injection mitigation, PII handling)
Preferred skills
LangChain, LangGraph, AWS Bedrock, Copilot Studio, Banking domain knowledge (onboarding, payments, KYC/AML), AI security (OWASP LLM Top 10), Model evaluation frameworks, Event-driven architectures
Technologies
AWS, Azure, Docker, Kubernetes, Kafka, OpenSearch, Oracle, SQL, NoSQL, Spring Boot, LangChain, LangGraph
Responsibilities
Design and build scalable microservices and APIs; Develop frontend applications with React or Angular; Implement RAG pipelines including chunking, embeddings, and vector search; Develop features using LLM APIs with prompt design and tool calling; Apply safety controls for input validation and prompt injection mitigation; Manage cost and latency trade-offs for model usage; Build AI-assisted capabilities for document processing and intelligent workflows; Contribute to cloud modernization and event-driven architecture initiatives.
Seniority
Senior, hands-on IC