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AIML Developer

India, Pune · Job Posted January 07, 2026
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Job Description

We are looking for a highly skilled AI Developer with expertise in Large Language Models (LLMs) to design, develop, and deploy intelligent AI-driven solutions tailored to client requirements. The ideal candidate will have a strong understanding of NLP, RAG (Retrieval-Augmented Generation), vector databases, and prompt engineering. You will collaborate closely with clients, business analysts, and technical teams to translate business problems into scalable AI solutions.

Job Responsibility

  • Collaborate with clients to analyze requirements and identify AI-driven opportunities and use cases
  • Design and develop custom AI/GenAI solutions using OpenAI, Anthropic, or similar LLM APIs
  • Implement Retrieval-Augmented Generation (RAG) pipelines integrating embeddings, vector stores, and knowledge bases
  • Fine-tune and optimize LLMs for domain-specific applications
  • Build and deploy chatbots, knowledge assistants, and automation tools using frameworks like LangChain, LlamaIndex, or custom architectures
  • Integrate AI solutions with enterprise applications, APIs, and data sources (structured and unstructured)
  • Work with vector databases (e.g., Chroma, Pinecone, FAISS, Weaviate) for semantic search and retrieval
  • Perform prompt engineering and optimization for improved LLM responses and accuracy
  • Evaluate, test, and benchmark different AI models, embeddings, and APIs for specific use cases
  • Stay updated with advancements in AI, ML, and GenAI technologies to propose innovative solutions for clients

Requirements

  • 4–6 years of experience in AI/ML development, with at least 1–2 years in LLM-based projects
  • Hands-on experience with OpenAI GPT models, LangChain, LlamaIndex, or similar frameworks
  • Strong knowledge of Python, FastAPI/Flask, and RESTful API development
  • Experience with vector databases (Chroma, Pinecone, FAISS, etc.) and embedding models (e.g., ada-002)
  • Solid understanding of NLP, machine learning, and RAG architectures
  • Familiarity with prompt design, fine-tuning, and model evaluation techniques
  • Exposure to Streamlit, Gradio, or similar front-end tools for AI demos
  • Working knowledge of cloud platforms (Azure, AWS, or GCP) and deployment pipelines
  • Strong analytical and problem-solving skills with the ability to translate business needs into technical solutions
  • Excellent communication and client interaction skills
  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related field

Nice to have

  • Experience with multimodal AI (text, image, or document processing)
  • Familiarity with open-source LLMs (Llama 3, Mistral, Falcon, etc.)
  • Knowledge of AI ethics, governance, and data privacy considerations

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