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Capco

Full Stack developer - AI

Posted Yesterday
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Hybrid
India
Senior level
Hybrid
India
Senior level
Develop and maintain full stack web applications integrating AI/ML models. Collaborate with teams to ensure performance, security, and responsiveness while following coding best practices.
The summary above was generated by AI

Job Title: DQ Programme Analyst

 About Us

“Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the  British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. 

WHY JOIN CAPCO? 

You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry.

MAKE AN IMPACT

Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.

#BEYOURSELFATWORK

Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.

CAREER ADVANCEMENT

With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.

DIVERSITY & INCLUSION

We believe that diversity of people and perspective gives us a competitive advantage.

Job Description:

Key ResponsibilitiesApplication 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.   

Top Skills

Amazon Neptune
Api Gateway
AWS
Django
Ecs
Elasticsearch
Fastapi
Flask
Git
Github Actions
Jenkins
Lambda
MongoDB
Neo4J
Node.js
Postgres
Python
React
Redux
S3
Sagemaker
Tailwind/Css-In-Js
Typescript

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