Capco - Generative AI Full Stack Developer

Description : Gen AI Full stack Developer.

Location : Pan India.

Experience : 7+ Years.

Skills : AI , Python and React.

Key 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 Carlyles 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 :

1. Frontend : React.js, TypeScript, Redux, Tailwind/CSS-in-JS

2. Backend : Python (FastAPI, Flask, Django), Node.js, or similar.

3. Database : PostgreSQL, MongoDB, or graph/semantic databases (e.g., Neo4j, Amazon Neptune).

4. 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.