Full Stack Engineer; AI-Enabled

Role Overview We are looking for a Full Stack Engineer who can design and deliver scalable, enterprise-grade solutions while building AI capabilities directly into our platforms. Role Overview We are looking for a Full Stack Engineer who can design and deliver scalable, enterprise-grade solutions while building AI capabilities directly into our platforms. This role is not limited to a specific tech stack.

We are looking for someone who:

• Understands banking and business workflows
• Takes end-to-end ownership of delivery
• Is a strong problem solver
• Has hands‑on experience building with large language models and can apply them responsibly in a regulated environment

You will work across frontend, backend, and integration layers to build reliable systems, while delivering AI-enabled capabilities where they create genuine business value. Candidates are not expected to have a research background in machine learning. We are looking for engineers who have implemented LLM-based functionality, understand its practical limitations, and can build around them. There will be opportunity to develop deeper expertise in areas such as agentic systems, orchestration, and model evaluation, supported by structured learning and meaningful project work.

• Build and enhance core banking and client onboarding platforms
• Design APIs and backend services that support complex, multi-step workflows
• Develop user-facing applications with a strong focus on usability and performance
• Work on data-driven systems, integrations, and orchestration layers
• Deliver AI-assisted capabilities including document processing, intelligent onboarding workflows, search and summarization, and decision support
• Implement retrieval‑augmented generation (RAG) capabilities that make internal policy, product, and client information accessible and actionable
• Contribute to modernization initiatives including API‑first design, cloud adoption, and event‑driven architecture

• Design, build, and support end-to-end applications across frontend, backend, and integration layers
• Translate business requirements into scalable technical solutions
• Take ownership of features from design through production and support
• Collaborate with product, architecture, and business teams to solve complex domain problems
• Build robust microservices and APIs using Java, Node.js, or Python
• Develop intuitive frontend applications using React or Angular
• Ensure systems are secure, resilient, and compliant, which is critical in banking
• Identify opportunities to leverage AI development tools to improve delivery efficiency
• Contribute to continuous improvement of engineering practices covering quality, CI/CD, and observability
• Develop features using LLM APIs, including prompt design, structured output handling, tool calling, and management of errors and edge cases
• Implement and optimize RAG pipelines covering chunking strategy, embeddings, vector search, and grounding of responses in source documents
• Establish validation and evaluation practices to assess AI output quality and identify regressions before release
• Apply appropriate safety and security controls including input validation, PII handling, prompt injection mitigation, and human‑in‑the‑loop review for material decisions
• Manage cost and latency considerations associated with model usage

• Backend:
  Java (Spring Boot), Node.js, Python
• Frontend:
  Angular or React
• AI / LLM:
  Lang Chain, AWS Bedrock, Azure OpenAI, Copilot Studio, OpenAI and Anthropic APIs
• Retrieval:
  Vector databases including pgvector, Open Search or Pinecone, or Chroma
• Architecture:
  Microservices, APIs, event‑driven systems
• Data: SQL/No
  
  SQL, Oracle
• Infrastructure: AWS/Azure, Docker, Kubernetes, Kafka
• Tools: CI/CD pipelines, observability platforms
• Candidates are not expected to have experience across the full stack listed. Demonstrated strength in several areas and the ability to learn others is sufficient.

• 5–10 years of experience in backend or full stack development
• Proficiency in at least one backend language (Java, Node.js, or Python) and one frontend framework (React or Angular)
• Strong understanding of system design, API development,…