Strong hands-on coding in Python or Node.js
Practical experience with LLMs (OpenAI, Claude, Gemini, etc.)
Experience with LangChain / LlamaIndex
Knowledge of vector databases (OpenSearch, Pinecone, FAISS, etc.)
Backend API development experience
Familiarity with AWS (Lambda, S3 and DynamoDB)
Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field
(Equivalent practical experience is also considered.)
Build and deploy AI features using LLMs and ML models
Design RAG pipelines using embeddings and vector databases
Integrate AI services with backend and frontend systems
Optimize prompts, latency, and cost of AI inference
Deploy AI workloads on AWS
Maintain security, monitoring, and performance standards
Experience with fine-tuning or custom ML models
Frontend exposure (React preferred)
Experience building AI agents and workflows
Work on real, production-grade AI systems
Competitive Indian market salary
High ownership and fast decision-making
Flexible work model
Long-term growth opportunities
