Job Description – AI Full Stack Developer (2–5 years)
Position: AI Full Stack Developer
Experience: 2–5 years
Employment Type: Full-time
Location: Bangalore, Chennai, Hyderabad
About the Role
We are seeking a highly motivated AI Full Stack Developer with 2–5 years of experience in building scalable AI-powered applications.
The ideal candidate should have strong expertise in Python, experience in Generative AI (GenAI), Agentic AI frameworks, and hands-on skills in both frontend and backend development.
This role involves developing intelligent applications, integrating AI models with modern web technologies, and contributing to building end-to-end AI-driven products.
Key Responsibilities
- Design, develop, and deploy end-to-end AI applications leveraging GenAI and Agentic AI frameworks.
- Implement and fine-tune LLMs (Large Language Models) using frameworks like LangChain, LlamaIndex, Haystack, DSPy, etc.
- Build AI agents and workflows with autonomous/agentic orchestration capabilities.
- Develop backend services and APIs in Python (FastAPI, Flask, or Django) for AI model integration.
- Design intuitive and responsive frontend applications using React.Js/Next.Js.
- Work with databases (SQL & NoSQL) for efficient data storage and retrieval.
- Integrate external APIs, vector databases (e.G., Pinecone, Weaviate, FAISS, Milvus), and knowledge graphs.
- Collaborate with data scientists, ML engineers, and product teams to deliver AI-powered features.
- Optimize AI workloads for scalability, cost-efficiency, and performance on cloud platforms (AWS, Azure, GCP).
- Stay updated with the latest trends in GenAI, Agentic AI, and MLOps practices.
Required Skills
- Programming: Strong proficiency in Python (AI/ML + backend development).
- AI/ML: Experience with Generative AI (LLMs, Diffusion models, Transformers).
- Agentic AI: Hands-on with frameworks like LangChain, AutoGen, CrewAI, or Semantic Kernel.
- Frontend Development: Proficiency in React.Js/Next.Js, HTML, CSS, JavaScript/TypeScript.
- Backend Development: Experience with FastAPI, Flask, or Django.
- Databases: MySQL/PostgreSQL, MongoDB, Redis, ArangoDB and vector DBs (Pinecone, FAISS, Milvus).
- MLOps/Deployment: Familiarity with Docker, Kubernetes, CI/CD pipelines, cloud (AWS/Azure/GCP).
- Version Control: Git, GitHub/GitLab.
- Problem-Solving: Strong analytical and debugging skills.
Preferred Skills (Good to Have)
- Experience with RAG (Retrieval Augmented Generation) pipelines.
- Knowledge of prompt engineering and LLM fine-tuning.
- Exposure to multi-agent AI systems.
- Familiarity with graph databases (Neo4j, ArangoDB).
- Experience in building AI chatbots, copilots, or autonomous agents.
- Understanding of security and compliance in AI applications.
Education
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related field.