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    Home/Jobs/Senior AI/ML Engineer (Agentic Systems & LLM)

    Senior AI/ML Engineer (Agentic Systems & LLM)

    Quest Global

    Pune
    5+ years
    Today
    ₹23–44 LPA
    Full-time
    Onsite

    Skills Required

    LLM
    Agentic AI
    Prompt Engineering
    Fine-tuning
    RAG
    LangChain
    Vector Database
    Gemini
    OpenAI
    Anthropic
    LangGraph
    AutoGen
    embedding pipelines
    FAISS
    Pinecone

    Description

    Quest Global is seeking a Senior AI/ML Engineer to build an autonomous AI-driven platform validating Android applications. The role involves designing and shipping multi-agent systems and working with large language models.

    Company: Quest Global

    Role: Senior AI/ML Engineer (Agentic Systems & LLM)

    Location: Available in 2 locations

    Experience:

    • 5+ years software engineering
    • 1+ years on production LLM/agentic systems

    Responsibilities:

    • Design and implement core agents: UI Understanding, Action Execution, Regression Detection, Root Cause Analysis
    • Build LLM Router with multi-provider abstraction, fallback chains, and cost aware routing
    • Develop three-layer guardrails system: pre-LLM input sanitization, post-LLM schema validation, runtime safety
    • Engineer Cost Governor for real-time budget tracking, automatic Pro to Flash switching, hard-stop enforcement
    • Author and version production prompt templates with A/B testing harness
    • Build Replay Engine for decision trace logging and run reproducibility
    • Drive Eval & Learning Loop including golden test sets, prompt regression testing, fine-tuning signal collection

    Additional responsibilities:

    • Tag every LLM call with metadata for cost-consciousness
    • Write strong decision documentation and prompt versioning rationale
    • Contribute to company culture by embracing diversity and fostering respect
    • Participate in internal culture work to ensure all voices are heard

    Nice to have:

    • Experience with Temporal, Cloud Workflows, or stateful workflow engines
    • Background in Android internals, ADB, or mobile testing tooling
    • Published research, blog posts, or open-source contributions in agentic AI
    • Exposure to fine-tuning, RAG architectures, or model evaluation pipelines
    • GCP / Vertex AI hands-on experience

    More skills:

    Python 3.10+, FastAPI, asyncio, structured logging, Gemini API, Anthropic API, agent frameworks, Vertex Matching Engine, distributed systems patterns, message queues, event-driven architecture, idempotency

    Other:

    • Quest Global has over 25 years as an engineering services provider with 21,000+ employees across 18 countries
    • Company culture values hunger, humility, aspiration, and diversity of thought
    • Benefits include group medical, term life, personal accident insurance, staff loan and salary advance, transportation, referral bonuses, childcare reimbursement, learning platform access, service milestones, and car lease support
    • Focus on work/life balance with wellness programs and social volunteering support

    Prepare for this role

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

    Generative AI with Large Language Models

    Coursera

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

    Functions, Tools and Agents with LangChain

    Coursera

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

    Large Language Models: Application through Production

    edX

    Production-focused LLM course covering deployment, monitoring, and scaling.

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