FullStack Developer

About the Role

To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues. The role is based out of Pune.

Key Responsibilities

• Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance.
• Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives.
• Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing.
• Stay informed of industry technology trends and innovations and actively contribute to the organization’s technology communities to foster a culture of technical excellence and growth.
• Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions.
• Implementation of effective unit testing practices to ensure proper code design, readability, and reliability.
• Spearhead the evolution of infrastructure and deployment pipelines, driving innovation and operational excellence.
• Harness cutting-edge technology to build and manage robust, scalable and secure infrastructure, ensuring seamless delivery of digital solutions.

Requirements & Tech Stack

• Hands-on GenAI engineering covering LLM integration, prompt engineering, RAG, embeddings, vector stores, evaluation, guardrails and agentic workflows.
• Cloud-native and DevSecOps delivery using microservices, Docker, Kubernetes, CI/CD, observability, resilience and secure engineering.
• Full-stack engineering using either Python (FastAPI/Django) or Java (Spring Boot), plus React/Angular/TypeScript, APIs, databases and automated testing.

Other Highly Valued Skills

• AI orchestration frameworks across Python or Java, including LangChain, LangGraph, LlamaIndex, Semantic Kernel, Spring AI or LangChain4j.
• MLOps / LLMOps, including prompt and model versioning, evaluation automation, monitoring, performance and cost optimisation.
• Financial services or payments experience, enterprise integration, event-driven architecture, responsible AI and regulatory controls.

Qualifications

You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills.