AI/ML Engineer – GenAI & LLM || Immediate Joiners

AI/ML Engineer – GenAI & LLM

Experience: 3+ Years

Location: Hyderabad / India

Employment Type: Full-Time

Job SummaryWe are looking for an experienced AI/ML Engineer with strong expertise in Generative AI, Large Language Models (LLMs), and Machine Learning to design, develop, and deploy intelligent AI solutions.

The ideal candidate will have hands-on experience with Python, ML frameworks, LLMs, RAG, prompt engineering, vector databases, and AI application development. You will work closely with engineering and product teams to build scalable, production-ready AI solutions.

Key Responsibilities

• Design, develop, and deploy AI/ML and Generative AI solutions for real-world business use cases.
• Build applications using LLMs such as OpenAI, Azure OpenAI, Gemini, Claude, Llama, or similar models.
• Develop Retrieval-Augmented Generation (RAG) pipelines using embeddings, vector databases, document processing, and semantic search.
• Implement prompt engineering, prompt optimization, and LLM evaluation techniques.
• Develop AI/ML models and pipelines using Python and frameworks such as PyTorch, TensorFlow, or Scikit-learn.
• Build intelligent applications using LangChain, LangGraph, LlamaIndex, or equivalent frameworks.
• Work with vector databases such as FAISS, Pinecone, Weaviate, Milvus, Chroma, or Azure AI Search.
• Develop and integrate REST APIs and microservices for AI/ML applications.
• Implement model monitoring, logging, evaluation, and performance optimization for production AI systems.
• Fine-tune or customize LLMs using appropriate techniques such as fine-tuning, PEFT, LoRA, or prompt-based adaptation where required.
• Work with structured and unstructured data to develop ML and GenAI solutions.
• Collaborate with Data Scientists, Data Engineers, Software Engineers, and business stakeholders to translate requirements into AI solutions.
• Deploy AI/ML workloads on cloud platforms such as AWS, Azure, or GCP.
• Implement CI/CD and MLOps practices for reliable deployment and lifecycle management of AI models.