Generative AI Full Stack Developer

3 days ago

bangalore, India Capco Full time

Gen AI Full stack DeveloperLocation: Pan IndiaExperience: 7+ YearsSkills: AI , Python and ReactKey Responsibilities- Application Development Design, develop, and maintain full stack web applications that integrate AI/ML models, knowledge graphs, and search interfaces for financial research.- Build modern, responsive UIs using React.js (or equivalent) with a focus on usability and performance.- Develop scalable, secure backend services using Python (FastAPI/Flask/Django), Node.js, or similar, including REST and GraphQL APIs. Integrate front-end components with AI/LLM services (e.g., GPT, Claude), document processing APIs, and financial datasets.- Collaborate with DevOps and Cloud teams to deploy applications using CI/CD pipelines, containers (Docker), and orchestration (Kubernetes).- Ensure production-grade observability, logging, and monitoring of full stack components.- Work alongside data scientists and ML engineers to embed AI capabilities into end-user applications.- Collaborate with UX teams to translate user feedback from investment professionals into intuitive features.- Contribute to code reviews, design discussions, and agile ceremonies.- Follow best practices in secure coding, data access control, and compliance (especially for financial systems).- Ensure all code aligns with Carlyle's enterprise architecture, data governance, and cybersecurity policies.Required Qualifications- 5+ years of professional experience as a full stack or software engineer building enterprise-grade web applications.- Expertise in: Frontend: React.js, TypeScript, Redux, Tailwind/CSS-in-JS Backend: Python (FastAPI, Flask, Django), Node.js, or similar- Database: PostgreSQL, MongoDB, or graph/semantic databases (e.g., Neo4j, Amazon Neptune)- Cloud: AWS preferred (Lambda, ECS, S3, API Gateway, SageMaker a plus) Version Control & CI/CD: Git, Jenkins/GitHub Actions- Strong understanding of integrating AI/ML APIs and handling large volumes of financial and textual data.- Familiarity with RESTful APIs, GraphQL, and microservices-based architecture.- Experience working in financial services, private equity, or asset management technology teams. Exposure to AI/ML, NLP, or LLM-based applications. Familiarity with vector databases, document search tools (e.g., Elasticsearch), and RAG (retrieval-augmented generation) workflows.- Experience working in an Agile or Scrum environment.

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