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    Home/Jobs/AI Engineer

    AI Engineer

    Becton, Dickinson

    Bengaluru
    3-5 years
    Today
    ₹15–28 LPA
    Full-time
    Onsite

    Skills Required

    Gen AI
    Agentic AI
    LLM
    RAG
    LangChain
    LlamaIndex
    OpenAI
    Anthropic/Claude
    Hugging Face
    Python
    Azure
    FastAPI
    Flask
    Streamlit
    Gradio

    Description

    We are looking for a hands-on AI Engineer to drive the design, development, and innovation of AI capabilities within our enterprise-grade AI platform.

    Company: Becton, Dickinson, and Company (BD)

    Role: AI Engineer

    Location: Bengaluru, Karnataka, India (In-Office)

    Experience:

    • 3–5+ years in applied AI/ML engineering
    • Demonstrated delivery of production Generative and Agentic AI solutions
    • Hands-on experience building Agentic AI systems
    • Experience building custom MCP (Model Context Protocol) servers

    Key Skills:

    • Python
    • AI/ML engineering
    • Generative AI
    • Agentic AI
    • NLP
    • LLM APIs
    • Azure AI ecosystem
    • Anthropic/Claude ecosystem
    • LangChain
    • LlamaIndex
    • LangGraph
    • CrewAI
    • AutoGen
    • Semantic Kernel
    • FAISS
    • Qdrant
    • Pinecone
    • Weaviate
    • Azure AI Search

    Qualification:

    • Strong proficiency in Python
    • Experience with LLM orchestration frameworks and vector/retrieval systems
    • Solid grasp of prompt engineering, context engineering, and latency-vs-cost trade-offs

    Role Focus:

    • Design, prototype, and validate AI-powered features
    • Train, fine-tune, and evaluate language or vision models
    • Architect and deliver production-ready, large-document advanced RAG workflows
    • Build complex multi-agent systems
    • Implement agent interoperability and orchestration
    • Develop modular, reusable Python APIs

    Additional responsibilities:

    • Provide well-documented proof-of-concepts and reference implementations
    • Collaborate with backend and cloud engineers
    • Build and optimize inference pipelines
    • Act as an internal AI product evangelist
    • Collaborate with stakeholders to shape AI product concepts

    Nice to have:

    • Experience with experiment tracking and evaluation tools
    • Familiarity with deep learning / classical ML libraries
    • A strong track record in Kaggle competitions, AI/ML hackathons

    Other:

    • Equal Opportunity Employer
    • Culture that supports learning, growth, and thrive
    • Face-to-face collaboration

    Prepare for this role

    Recommended resources to build the skills for this position. Sponsored.

    Python 3 Programming Specialization

    Coursera

    Intermediate Python covering classes, inheritance, APIs, and data processing.

    Python for Everybody Specialization

    Coursera

    Learn Python from scratch — variables, data structures, web scraping, and databases.

    Generative AI with Large Language Models

    Coursera

    Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment.

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