AI/ML Engineer – Python (LLM, RAG, LangChain, LlamaIndex)

1 years

0 Lacs

Posted:3 days ago| Platform: Linkedin logo

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On-site

Job Type

Full Time

Job Description

Job Title:

AI/ML Engineer – Python (LLM, RAG, LangChain, LlamaIndex)

Location:

Pune

Experience:

1-2 Years

Employment Type:

Full-time

Working Mode

: Work from office

Working Day

: Monday to Friday

About The Role

We are looking for a highly skilled AI/ML Engineer with strong Python expertise and hands-on experience in developing LLM-based applications. The ideal candidate should be proficient with Retrieval-Augmented Generation (RAG), LangChain, and LlamaIndex, and be passionate about building cutting-edge AI systems that combine machine learning with advanced language models.

Key Responsibilities

  • Design, develop, and deploy LLM-powered applications using frameworks like LangChain and LlamaIndex.
  • Implement and optimize RAG pipelines to enable efficient and scalable retrieval and generation workflows.
  • Fine-tune and integrate large language models (LLMs) such as GPT, LLaMA, Mistral, etc.
  • Build and maintain vector databases (e.g., FAISS, Pinecone, Chroma) for semantic search and context augmentation.
  • Work with unstructured data (documents, PDFs, web data) to extract and process meaningful content for use in AI applications.
  • Collaborate with data scientists, product teams, and backend engineers to deploy AI features into scalable production systems.
  • Monitor performance of deployed models and pipelines; continuously improve based on feedback and usage analytics.
  • Stay updated with the latest developments in generative AI, prompt engineering, and open-source LLM tools.

Required Skills & Experience

  • 1+ years of hands-on experience in Python development for AI/ML applications.
  • Solid understanding of large language models, prompt engineering, and model fine-tuning.
  • Proficient with LangChain and LlamaIndex for building composable LLM workflows.
  • Experience building RAG systems, including retrieval, chunking, embedding, and context injection.
  • Familiarity with vector stores such as FAISS, Chroma, Weaviate, or Pinecone.
  • Experience with Hugging Face Transformers, OpenAI, or similar model providers.
  • Good understanding of REST APIs, microservices architecture, and deploying AI services in production.

Nice To Have

  • Exposure to cloud platforms (AWS, Azure, or GCP) and managed AI/ML services.
  • Experience with LangGraph, AutoGen, or similar agent orchestration frameworks.
  • Working knowledge of MLOps tools like MLflow, DVC, or Kubeflow.
  • Understanding of data privacy, security, and ethical AI principles.
  • Computer Vision

Qualification: BE/Btech/MCA/MSC

Benefits

  • Work with state-of-the-art AI and LLM technologies
  • Access to training, certifications, and conferences in AI/ML
  • Collaborative and innovative work culture

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