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    Home/Jobs/AI/ML Engineer – GenAI & LLM Applications

    AI/ML Engineer – GenAI & LLM Applications

    Recrew

    Bengaluru
    5+ years
    Today
    ₹23–44 LPA
    Full-time
    Hybrid

    Skills Required

    LangChain
    LlamaIndex
    RAG
    Hugging Face
    vLLM
    AutoGPT
    Python
    FastAPI
    Flask
    LangGraph
    Pinecone
    Milvus
    Qdrant
    ChromaDB
    LoRA

    Description

    AI/ML Engineer – GenAI & LLM Applications role in Bangalore (Hybrid). The company is a digital engineering firm founded in 2020, specializing in AI-driven digital transformation for large enterprises.

    Company: Recrew

    Role: AI/ML Engineer – GenAI & LLM Applications

    Location: Bangalore (Hybrid)

    Experience:

    • 5+ years of Python engineering experience with production REST API development
    • 2+ years of hands-on LLM application development using LangChain, LlamaIndex, or LangGraph

    Key Skills:

    • Python
    • REST API
    • LLM application development
    • LangChain
    • LlamaIndex
    • LangGraph
    • RAG pipelines
    • Pinecone
    • Milvus
    • Qdrant
    • ChromaDB
    • FastAPI
    • Flask
    • LoRA/QLoRA
    • Hugging Face Transformers
    • PyTorch
    • Docker
    • Kubernetes
    • vLLM
    • AWS Bedrock
    • Google Vertex AI
    • LangSmith
    • Weights & Biases
    • Arize Phoenix

    Role Focus:

    • Embed with client product and engineering teams to architect and ship production-grade LLM-powered features end-to-end
    • Build and optimize RAG pipelines with advanced chunking strategies, hybrid search, re-ranking, and vector database management
    • Develop multi-agent systems and autonomous workflows with tool use, self-correction, and complex task execution
    • Fine-tune open-source LLMs using LoRA/QLoRA and implement 4-bit/8-bit quantization for cost-effective client deployment
    • Set up and maintain production AI infrastructure including vLLM-based model serving, containerized deployments via Docker/Kubernetes, and continuous evaluation pipelines
    • Implement AI safety and guardrail layers to mitigate hallucinations, enforce PII data protection, and monitor token usage and inference costs within client environments
    • Transform raw, unstructured client data into high-value AI features in close collaboration with client-side Data Engineering and Product teams

    Nice to have:

    • Prior experience working in a client-facing or consulting delivery model where AI solutions were scoped, built, and handed off to enterprise clients
    • Experience building multi-agent systems using CrewAI, AutoGPT, or custom function-calling/tool-use architectures
    • Familiarity with AI safety frameworks, PII redaction pipelines, or responsible AI governance practices at the enterprise level
    • Exposure to supply chain, ERP, or data platform modernization use cases
    • AWS or GCP professional-level certification

    Other:

    • Hybrid work model — flexibility to work remotely with structured in-office collaboration
    • Direct ownership of AI features shipping into live enterprise client products — visible impact from day one
    • Global collaboration across seven offices with exposure to diverse enterprise domains and client challenges

    Prepare for this role

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

    Python for Everybody Specialization

    Coursera

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

    Python 3 Programming Specialization

    Coursera

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

    Functions, Tools and Agents with LangChain

    Coursera

    Advanced LangChain covering function calling, tool use, and conversational agents.

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