Role Overview :

We're looking for a hands-on Sr Technical Lead Full Stack Engineer to build and scale AI-enabled, cloud-native applications for a fast-paced FinTech product environment. The role will have a strong Backend focus (50%) with Frontend development (50%), requiring deep expertise in Python, React.js, AWS, and PostgreSQL. You'll own features end-to-end, from design and development through deployment, while integrating AI/GenAI capabilities into production applications.

Key Responsibilities :

- Design and build scalable backend services and APIs using Python.

- Develop responsive and production-ready frontend applications using React.js.

- Own features end-to-end, from technical design and implementation to production deployment.

- Build cloud-native and serverless applications using AWS.

- Design and optimize PostgreSQL databases, including schemas, queries, indexing, and performance.

- Integrate LLMs and Generative AI capabilities into production applications.

- Build AI-powered features including intelligent search, chat interfaces, document processing, and workflow automation.

- Integrate AI APIs such as OpenAI, Claude, Azure OpenAI, or similar platforms.

- Collaborate with Product, Design, Data Engineering, Analytics, and Engineering teams.

- Build reusable components, automation tools, APIs, and internal applications.

- Participate in code reviews, testing, debugging, and performance optimization.

- Ensure applications are secure, scalable, reliable, and production-ready.

Required Skills :

- 10+ years of experience in Full Stack / Software Engineering.

- Strong hands-on expertise in Python and backend development.

- Strong experience with React.js and modern frontend development.

- Solid hands-on experience with AWS Cloud, including cloud-native and serverless architectures.

- Strong experience with PostgreSQL, including database design, schema management, query optimization, and database operations.

- Hands-on experience integrating LLMs / Generative AI into production applications.

- Experience with AI APIs such as OpenAI, Claude, Azure OpenAI, or similar platforms.

- Strong understanding of REST APIs, distributed systems, scalable application design, and microservices.

- Experience building and deploying end-to-end products in production.

- Experience in leading the team.

- Strong coding, debugging, problem-solving, and engineering skills.

Nice to Have :

- Experience with RAG, vector databases, semantic search, LangChain/LlamaIndex, or MCP.

- Experience with Docker, Kubernetes, CI/CD, and Terraform.

- Experience with AWS services such as Lambda, ECS/EKS, RDS, S3, API Gateway, and CloudWatch.

- Experience working with data platforms, ETL/data pipelines, or analytics systems.

- Experience in FinTech, SaaS, or high-growth product environments.

- Strong experience using AI-assisted development tools to improve engineering productivity.