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    Home/Jobs/AI Engineer

    AI Engineer

    Zinier

    Bengaluru
    3+ years
    55 days ago
    ₹15–28 LPA
    Full-time
    Hybrid

    Skills Required

    LLM
    RAG
    LangChain
    Gen AI
    Claude
    Transformers
    Vector Database
    embedding-based retrieval
    Python
    JavaScript
    TypeScript
    neural network architectures
    multi-agent AI systems
    autonomous workflows
    token economics

    Description

    Zinier is looking for a Senior AI Engineer to build AI capabilities that power every function across the company. The ideal candidate will have a deep understanding of AI/ML fundamentals and be able to design, build, deploy, and enable solutions enterprise-wide.

    Company: Zinier

    Role: Senior AI Engineer

    Location: Bengaluru, Karnataka, India

    Experience:

    • 3+ years software engineering experience with substantive focus on AI/ML, LLM applications, or automation engineering

    Qualification:

    • Proficiency in at least one modern programming language

    Role Focus: • Design pragmatic solutions for real problems • Rapid prototyping and iterative delivery • Build agentic AI systems where justified • Score and prioritise opportunities • Transition prototypes to production • Build reusable infrastructure • Synthesise findings into recommendations • Justify cost, complexity, and value • Train and enable departmental teams • Cultivate AI champions across the org • Elevate company-wide AI literacy

    Nice to have:

    • Experience with multi-agent frameworks
    • Familiarity with agent harness patterns
    • Experience with automation platforms
    • Working knowledge of RAG architectures
    • vector databases
    • embedding-based retrieval
    • Domain experience in FSM, enterprise SaaS, or workforce management
    • MCP server development
    • JavaScript/TypeScript
    • analytics platforms
    • SQL

    More skills:

    AI/ML, generative AI mechanics, prompt architecture, tool-use patterns, LLM-native application development, multi-agent orchestration, inter-agent handoffs, tool integration, context window optimization, cost management, rate limit handling, efficiency-aware solution design, rapid prototyping, hypothesis-driven experimentation, iterative development, cross-functional communication, multi-agent frameworks, agent harness patterns, automation platforms, API-first integration development

    Other:

    • Remote-first, global team
    • Hybrid workforce across the United States, Canada, Europe, Latin America, Singapore, and Bangalore, India
    • Leading investors include Accel, ICONIQ Capital, Founders Fund, Newfund Capital, NGP Capital, Tiger Global Management, and Qualcomm Ventures LLC

    Prepare for this role

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

    Python for Everybody Specialization

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    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.

    Generative AI with Large Language Models

    Coursera

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

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