Job Summary
We are looking for a AI Engineer with hands-on experience in Python, AI/GenAI and Cloud to build and integrate AI-powered applications.
Experience: 0–2 years, preferably 1–2 years relevant experience
Key Responsibilities
AI & GenAI Development
Develop AI/GenAI applications using Python.
Work with LLMs, Prompt Engineering, RAG, Embeddings and Vector Databases.
Integrate LLM APIs such as OpenAI, Azure OpenAI, Gemini, etc.
Develop AI features, APIs and automation workflows.
Python & API Development
Build backend services using Python, FastAPI/Flask.
Develop and integrate REST APIs.
Write clean, reusable and maintainable code.
Perform testing, debugging and performance optimization.
Cloud & Deployment
Work with at least one cloud platform: AWS / Azure / GCP.
Deploy and support AI applications on cloud.
Basic knowledge of Docker, Git, CI/CD and Linux.
Work with cloud-based AI/ML services.
RAG & AI Technologies
Build basic RAG pipelines involving document processing, chunking, embeddings and retrieval.
Work with FAISS, Pinecone, Chroma, Weaviate or similar.
Knowledge of LangChain/LangGraph is preferred.
Required Skills
Python – Strong hands-on experience
AI/ML & Generative AI
LLMs & Prompt Engineering
RAG / Embeddings
REST APIs
AWS / Azure / GCP
Git
Basic Docker and Linux knowledge
Good to Have
LangChain / LangGraph
Vector Databases
FastAPI
OpenAI / Azure OpenAI
Docker / Kubernetes
SQL / MongoDB
CI/CD