Fullstack Lead

Key Responsibilities

• Implementation of AI solutions using LLMs .
• Full-Stack Delivery: Design, develop, and ship features across React + TypeScript, Python (FastAPI), REST/GraphQL APIs, and data layers.
• AI Integration: Build and integrate AI services (e.g., OpenAI/LLM providers or on-prem models) for search, summarization, recommendations, classification, RAG, or automation workflows.
• Front-End Engineering: Create responsive, accessible, and performant UIs using HTML5, CSS3/Sass/Tailwind, React, Hooks, Context/Redux, and component libraries (MUI/AntD).
• Back-End & Data: Implement secure APIs, background jobs, caching, and data pipelines; work with PostgreSQL/MySQL, NoSQL (MongoDB/Redis), and ORM tools.
• Good hands-on experience in cloud platforms (Azure/AWS)
• Quality & DevOps: Write unit/integration tests (Jest/PyTest), participate in code reviews, CI/CD, containerize with Docker, and deploy to AWS/Azure/GCP.
• Collaboration: Partner with designers, PMs, and data/ML engineers; break down requirements into technical designs and deliverables.
• Documentation: Maintain technical docs, API specs (OpenAPI/Swagger), and runbooks.

Must-Have Skills

• 68 years of professional full-stack development experience.
• Front end: React (Hooks), strong HTML5/CSS3 (responsive design, accessibility), modern JS/TS.
• Back end: Python (FastAPI/Django/Flask), API design, async patterns, background tasks (Celery/RQ).
• AI/ML (hands-on):
• Consuming LLM or ML services via APIs (prompt design, safety, cost/performance tuning), OR
• Building inference services (transformers, sentence embeddings), RAG with vector stores (FAISS/PGVector), and simple fine-tuning or model evaluation.
• Datastores: SQL (PostgreSQL/MySQL) + one NoSQL/Cache (MongoDB/Redis).
• Testing & Quality: Jest/RTL (front end), PyTest (back end), Postman, Swagger/OpenAPI).
• Build/Deploy: Git, CI/CD (GitHub Actions/Azure DevOps/GitLab), Docker, basic cloud (AWS/Azure/GCP).
• Strong problem solving, system design thinking, and communication.

Good-to-Have

• TypeScript-first React apps, Next.js, SSR/SSG.
• AI tooling: LangChain/LlamaIndex, vector DBs, prompt orchestration.
• MLOps basics: Model packaging, inference optimization, metrics, guardrails.
• Security: CSP, SAST/DAST tools.
• Performance: Lighthouse, Core Web Vitals, API and DB performance tuning.
• Design Systems: Storybook, component architecture, accessibility (WCAG 2.1 AA).

Qualifications

• Bachelors/Masters in Computer Science, Engineering, or equivalent experience.
• Portfolio/GitHub with production-grade full-stack and AI-integration examples is a plus.