Senior Analyst

Job Summary

Join the project team as a Senior GenAI Full Stack Developer, working closely with enterprise clients to build and support production-grade GenAI platforms. The role involves end-to-end ownership of frontend development, Backend for Frontend (BFF) services, Azure cloud integrations, security, and CI/CD pipelines. You will work closely with AI/ML engineers and client stakeholders to integrate LLM and RAG capabilities into scalable enterprise applications.

Roles and Responsibilities

• Frontend Development: Lead frontend development using React, TypeScript, JavaScript, HTML, and CSS, building scalable, reusable, and maintainable UI components and application workflows.
• Backend & API Development: Own the Backend for Frontend (BFF) layer using Python and Django REST Framework, providing a secure middleware layer between frontend applications and Azure Functions/backend services.
• Azure Integration: Integrate Azure Functions APIs through Django and manage secure data flow between frontend applications and AI/GenAI backend services.
• Cloud & CI/CD: Contribute to Azure Functions development and manage CI/CD pipelines using Azure DevOps and Azure Pipelines. Deploy and manage Dockerized services using YAML-based configurations across Azure environments.
• Security: Implement enterprise-grade security using Azure AD/MSAL, SSO, RBAC, JWT validation, authentication, authorization, and route guards.
• GenAI Integration: Collaborate closely with AI engineers to integrate LLM, RAG, and GenAI capabilities into frontend applications and business workflows.
• Client Collaboration: Work directly with enterprise clients on UI design reviews, technical feasibility assessments, requirements clarification, and rapid UI iterations.
• Engineering Best Practices: Build secure, scalable, maintainable applications following SDLC, testing, code quality, and enterprise engineering standards.

Required Skills

• React, TypeScript, JavaScript, HTML, CSS, Redux Toolkit, RTK Query, Vite, Webpack, Jest, React Testing Library, Python, Django REST Framework, REST API Development, Azure Functions, Docker, Kubernetes, CI/CD, YAML, and Azure Cloud.
• Strong experience in Azure AD/MSAL, Azure Functions, Azure DevOps, Azure Pipelines, and Azure AI Search.
• Hands-on experience with BFF architecture, REST API integration, secure authentication/authorization, and enterprise application development.
• Familiarity with LLMs, RAG pipelines, GenAI workflows, and Azure OpenAI or similar LLM APIs.
• Experience collaborating with AI/ML engineering teams and integrating AI capabilities into production applications is preferred.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.