Full Stack developer - AI at Capco Singapore

, , India -

Full Time

Start Date

Immediate

Expiry Date

16 Feb, 26

Salary

0.0

Posted On

18 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Full Stack Development, AI Integration, React.js, Python, Node.js, REST APIs, GraphQL, DevOps, Cloud Computing, Agile Methodologies, Database Management, Observability, User Experience, Secure Coding, Financial Services, Machine Learning

Industry

Financial Services

Description

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 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.

How To Apply:

Incase you would like to apply to this job directly from the source, please click here

Responsibilities

Design, develop, and maintain full stack web applications that integrate AI/ML models and financial datasets. Collaborate with teams to ensure production-grade observability and embed AI capabilities into end-user applications.