Job summary:

Job description:

**** Webcam interview;  *** Long term project *** Hybrid ***Linkedin Must*** Due to security reasons only USC/GC ****

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:

• Experience:8-10+yrs
• Financial experience is a must have
• 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.

Contact the recruiter working on this position:

The recruiter working on this position is Nadeem Ahmed Razvi(Shaji Team)
His/her contact number is +(1) (202) 7381674
His/her contact email is nadeem@msysinc.com

Our recruiters will be more than happy to help you to get this contract.