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AI/ML Engineer

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Job Description - AI/ML Engineer

Position - AI/ML Engineer
Exp - 3–6 yrs 
LocationBaner,Pune 
Notice Period - Immediate Joiner 
Skills - AI/ML, RAG frameworks (LlamaIndex, LangChain, Haystack), LangChain, LLM,
cloud platforms (AWS, GCP, Azure) , OCR engines (Tesseract, PaddleOCR, EasyOCR) ,
Python, REST APIs, Microservices

About the Role:

We are seeking an AI/ML Engineer with hands -on experience in Generative AI, Retrieval -Augmented Generation (RAG), LangChain, LangGraph, and OCR technologies. The ideal candidate will build and deploy intelligent AI solutions combining LLMs, document processing, and Agentic workflows to solve real -world business challenges.

Key Responsibilities:

  • Design and develop end -to -end RAG pipelines using vector databases and LLMs.
  • Build document ingestion, embedding, retrieval, and metadata filtering workflows.
  • Develop production -grade AI applications using LangChain, agents, tools, and memory.
  • Architect stateful multi -agent systems using LangGraph.
  • Implement OCR and Intelligent Document Processing (IDP) solutions using Tesseract, PaddleOCR, EasyOCR, and cloud Document AI services.
  • Integrate OCR outputs with NLP/LLM pipelines for automated document understanding.
  • Monitor AI systems, improve response quality, and implement guardrails.
  • Collaborate with cross -functional teams to deliver scalable AI solutions.

Required Skills:

  • Strong experience with RAG frameworks (LangChain, LlamaIndex, Haystack) and vector databases (FAISS, Pinecone, Weaviate, ChromaDB).
  • Expertise in LangChain (LCEL, agents, tools, structured outputs) and LangGraph.
  • Hands -on experience with OCR engines and cloud document AI services.
  • Proficiency in Python, REST APIs, async programming, and microservices.
  • Experience with LLM platforms such as OpenAI, Claude, Gemini, Cohere, or Mistral.
  • Knowledge of embeddings, similarity search, prompt engineering, and LLM evaluation.
  • Familiarity with OpenCV, Pillow, and cloud platforms (AWS/GCP/Azure).

Preferred Skills

  • Multi -modal RAG and hybrid search implementations.
  • Agentic AI patterns (ReAct, Plan -and -Execute, Reflexion).
  • Experience with LangSmith, LayoutLM, Donut, TrOCR, and IDP platforms.
  • Multi -lingual OCR and Indic language processing experience.
  • Contributions to open -source AI/ML projects.



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