Full Stack AI Developer

About the Role
We are seeking a highly skilled and innovative Full stack AI developer to join our dynamic team. In this role, you will design, develop, and deploy cutting-edge artificial intelligence (AI) solutions, leveraging advanced machine learning (ML) techniques and AI frameworks to address complex business challenges. You will work closely with cross-functional teams to build intelligent systems and drive innovation, with a focus on implementing and optimizing modern AI technologies such as Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI Agents.

What You’ll Do
• Build and maintain high-performance AI microservices
• Develop and optimize Retrieval-Augmented Generation (RAG) systems for production-scale use cases.
• Work with vector databases to enable semantic search, embeddings retrieval, and real-time AI workflows.
• Write clean, reusable, and maintainable code with strong focus on performance, latency, and reliability.
• Collaborate with product managers, backend engineers, and AI teams to deliver impactful AI-driven features.
• Participate in design and code reviews to uphold a high-quality engineering culture.

Must-Have Qualifications
• A minimum of 2 years of experience in AI/ML technologies and real-world implementations.
• Overall experience of 3+ years in a core technical role.
• Go, Node & Python (Advanced Programming & AI Development)
• Experience of AI assisted -programming tools (Copilot, Cursor, Claude, etc.)
• Large Language Models (LLMs) – GPT, Llama, Claude, etc.
• Retrieval-Augmented Generation (RAG) Architecture & Vector Databases
• Generative AI Applications and AI Agent Development
• Knowledge of AI evaluation, hallucination control, and prompt optimization.
• Understanding of API security, authentication, and data privacy principles.

Education Qualification:
Must have 10th,12th and graduation with 70%or above.

Soft Skills
• Strong problem-solving and experimentation abilities
• Effective communication and collaboration with cross-functional teams
• Ownership mindset — you care about product quality, reliability, and accuracy
• Fast learner who thrives in a fast-paced, high-growth startup environment

Bonus / Good to Have:
• Experience with LLM frameworks
• Knowledge of MLOps, model deployment, APIs, and cloud platforms is preferred.
• Familiarity with multimodal models and fine-tuning workflows
• Exposure to vector search optimization and hybrid retrieval methods
• Understanding of distributed systems, caching, and LLM latency optimization
• Basic understanding of CI/CD pipelines, Docker, or AWS for model deployment
• Experience with Node.js for auxiliary services or integrations
• Knowledge of Redis or other caching layers for optimizing retrieval and AI response latency