Full Stack Lead / Architect (React + Python + GenAI)

Location: Hyderabad / Bengaluru / NCR / Chennai

Employment Type: Full-time

Role summary

We are seeking an experienced Full Stack Lead / Architect with strong expertise in React (frontend), Python (backend), and Generative AI (GenAI) solutions. The role involves designing and leading scalable full-stack applications with integrated AI capabilities, enabling intelligent, user-centric experiences.

Key Responsibilities

•Lead architecture and development of end-to-end full stack solutions (React + Python) with embedded GenAI features.
•Design and implement RAG pipelines, LLM-based APIs, and agentic workflows to enhance product functionality.
•Architect and optimize scalable systems leveraging microservices, cloud, and event-driven design.
•Build user-friendly, responsive, and high-performance UIs in React integrated with AI-driven APIs.
•Drive innovation by embedding GenAI use cases such as chatbots, document intelligence, summarization, code generation, and knowledge assistants.
•Collaborate with data scientists, ML engineers, and product teams to deploy AI/ML models into production.
•Ensure solutions are secure, compliant, and optimized for cloud environments (AWS, Azure, GCP).
•Provide technical leadership and mentoring to developers on full stack + AI development best practices.
•Conduct code reviews, performance tuning, and architecture reviews to ensure quality delivery.

Skills & Qualifications

•Hands-on expertise in React.js (Hooks, Redux, Context API, TypeScript preferred).
•Strong proficiency in Python (Django / Flask / FastAPI) for backend services.
•Solid experience with GenAI frameworks (LangChain, LlamaIndex, Haystack, Hugging Face).
•Proficiency in integrating LLMs (OpenAI, Azure OpenAI, Anthropic, Google Gemini, LLaMA, etc.).
•Experience with RAG (Retrieval Augmented Generation), vector databases (Pinecone, Weaviate, FAISS, Chroma).
•Strong knowledge of databases (PostgreSQL, MySQL, MongoDB, Redis).
•Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes).
•Understanding of MLOps, CI/CD pipelines, API orchestration, and system scalability.
•Strong leadership and communication skills for engaging with stakeholders.

Experience

Lead: 8–12 years of full stack development experience with at least 2+ years in AI/GenAI-based projects.

Architect: 12–16 years of experience with proven expertise in designing and deploying enterprise AI-driven platforms.

Preferred Certifications (nice to have)

Cloud certifications (AWS/Azure/GCP Architect).

AI/ML or Generative AI certifications (Microsoft, NVIDIA, Databricks, etc.).