Job Title : Full Stack AI Developer (React/Python & GenAI)

Location : Whitefield, Bangalore (work from office - 5 days a week)

Work Hours : 9:30 AM onwards

About the Role :

Our client is looking for a passionate and skilled Full Stack AI Developers who thrive at the intersection of modern web development and cutting-edge Generative AI.

You will be responsible for building, deploying, and maintaining full-stack applications where robust front-end interfaces meet sophisticated AI/LLM-powered back-end logic.

If you are excited about leveraging frameworks like LangChain and LangGraph to create intelligent, stateful AI applications on GCP, we want to hear from you.

Key Responsibilities :

- Design, develop, and deploy end-to-end web applications with a React front-end and a Python back-end.

- Architect, implement, and integrate Large Language Model (LLM) capabilities into production applications using LangChain and LangGraph for building complex, multi-step AI workflows and agents.

- Build, manage, and optimize cloud-native applications on the Google Cloud Platform (GCP) ecosystem (e.g., Cloud Run, Cloud Functions, Vertex AI, Firestore, Cloud Storage).

- Develop scalable APIs and microservices to connect AI models with user-facing applications.

- Collaborate with product managers, designers, and other engineers to translate requirements into functional, high-performance AI features.

- Write clean, maintainable, and well-documented code with a focus on scalability and reliability.

- Stay updated with the latest advancements in Generative AI, cloud services, and full-stack development practices.

Qualifications & Experience :

- 1. 5 to 4 years of professional experience in full-stack development.

- Frontend : Strong proficiency in React.js and its core principles (hooks, state management, component lifecycle).

- Backend : Strong proficiency in Python and frameworks like FastAPI, Django, or Flask.

- AI/ML : Hands-on experience with LLM integration using LangChain and LangGraph. Experience in building agents, chains, and stateful workflows.

- Cloud : Proven experience with Google Cloud Platform (GCP) services for deployment, compute, and storage.

- Experience with Vector Databases (e.g., Pinecone, Weaviate, pgvector).

- Understanding of LLM concepts like prompting, fine-tuning, RAG (Retrieval-Augmented Generation), and embeddings.

- Knowledge of containerization (Docker) and CI/CD pipelines.

- Familiarity with database technologies (SQL/NoSQL).

- Excellent problem-solving skills and the ability to work independently in a fast-paced environment.

- Strong communication and teamwork skills