Junior AI/ML Engineer

Job Summary
We are looking for a skilled Junior AI/ML Engineer with strong hands-on experience in Azure OpenAI and Generative AI to develop, integrate, and optimize AI-powered applications. The ideal candidate should have practical experience building LLM-based solutions, integrating Azure AI services, and developing scalable AI applications using Python and modern GenAI frameworks.
Key Responsibilities
Develop and implement Generative AI solutions using Azure OpenAI services and Large Language Models (LLMs).
Build AI-powered applications using GPT models, prompt engineering, and Retrieval-Augmented Generation (RAG).
Develop and integrate REST APIs for AI/ML applications.
Work with vector databases, embeddings, and semantic search for knowledge-based applications.
Implement document processing, conversational AI, chatbots, and intelligent automation solutions.
Optimize LLM performance, response quality, latency, and token usage.
Integrate AI solutions with enterprise applications, data sources, and Azure cloud services.
Collaborate with cross-functional teams to deliver production-ready AI solutions.
Perform testing, debugging, and troubleshooting of AI/ML applications.
Required Technical Skills
Azure OpenAI Service – GPT models, deployments, API integration, and configuration.
Generative AI & LLMs – Strong practical understanding of LLM-based application development.
Python Programming – Hands-on experience developing AI applications and backend services.
Prompt Engineering & RAG – Prompt design, embeddings, retrieval pipelines, and context management.
LLM Frameworks – Experience with LangChain, LlamaIndex, or Semantic Kernel.
Vector Databases – Familiarity with Azure AI Search, FAISS, Pinecone, or similar technologies.
REST APIs & Azure Services – Integrating AI models into applications and cloud environments.
Git and Application Deployment – Version control, debugging, and basic deployment practices.
Good to Have
Experience with Azure AI Foundry and Azure Machine Learning.
Knowledge of AI agents, tool calling, and multi-agent workflows.
Familiarity with Azure AI Search, Document Intelligence, and enterprise RAG solutions.
Understanding of ML fundamentals, model evaluation, and responsible AI practices.
Experience with Docker, CI/CD, and monitoring AI applications.
Candidate Profile
3–5 years of relevant experience in AI/ML, Generative AI, or LLM application development.
Strong hands-on expertise in Azure OpenAI and Generative AI.
Demonstrated experience building practical AI solutions or proof-of-concept applications.
Good analytical, problem-solving, and communication skills.
Willingness to work onsite in Mumbai, five days a week.
Primary Skills: Azure OpenAI, Generative AI/LLMs, Python, RAG & Prompt Engineering, LangChain/Azure AI Search.
Skills: openai,azure,ai,python,langchain,generative,rag,llm

Work arrangement
No