Full Stack AI Developer

Full Stack Developer

Location : Bangalore

Work Mode : Hybrid

Employment Type : Contract - 6 Months (Extendable)

Experience : 5 - 6 Years

Joining : Immediate

Working Hours : 9 : 00 AM - 6 : 00 PM

Working Days : Monday to Saturday

About the Role :

We are looking for an experienced Full Stack Developer with 5-6 years of hands-on development experience to build and maintain scalable full-stack web applications, workflow automation solutions, and AI-enabled products. The ideal candidate should be a strong hands-on engineer with solid frontend and backend expertise and practical experience integrating LLM/Generative AI capabilities into production applications.

Key Responsibilities :

• Design, develop, test, and maintain scalable full-stack web applications.
• Build responsive and user-friendly interfaces using React, Angular, or Vue.
• Develop backend services and REST APIs using Node.js, Python, or .NET/C#.
• Integrate third-party APIs and services into web applications.
• Integrate LLM/GenAI capabilities into production applications.
• Design prompts and handle model responses, errors, and production use cases.
• Develop workflow automation solutions and optimize application processes.
• Design database schemas and write optimized queries.
• Build secure, scalable, and maintainable application architectures.
• Use Git-based version-control workflows and participate in code reviews.
• Containerize applications using Docker and support CI/CD pipelines.
• Troubleshoot production issues and improve application performance and reliability.
• Collaborate with product, engineering, and other stakeholders to deliver solutions within timelines.

Required Skills :

Frontend :

• Strong proficiency in at least one modern framework : React, Angular, or Vue.
• Strong knowledge of HTML, CSS, JavaScript/TypeScript.

Backend :

• Strong experience in at least one backend stack : Node.js, Python (Django/FastAPI/Flask), or .NET/C#.

AI / GenAI - Mandatory :

• Hands-on experience integrating LLM/Generative AI capabilities into applications.
• Experience working with LLM/provider APIs.
• Understanding of prompt design and handling model responses in production environments.

APIs & Databases :

• Strong understanding of REST API design and integration.
• Experience with PostgreSQL, MySQL, or MongoDB.
• Knowledge of database schema design and query optimization.

DevOps & Development Practices :

• Strong Git and version-control experience.
• Experience with Docker.
• Understanding of CI/CD pipelines.

Good to Have :

• TypeScript experience across the full stack.
• Experience with RAG pipelines, embeddings, semantic search, or vector databases such as Pinecone, Weaviate, Chroma, FAISS, or Qdrant.
• Experience with LangChain, LangGraph, agent frameworks, or tool-calling.
• Strong experience with AWS, Azure, or GCP.
• Infrastructure-as-code experience.
• Experience with WebSockets, streaming, message queues, or Redis.
• Experience with OAuth2, JWT, SSO, and application security best practices.