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    Home/Jobs/Senior Artificial Intelligence Engineer

    Senior Artificial Intelligence Engineer

    Maynor Consulting

    Chennai
    5-10 years
    Today
    ₹23–100 LPA
    Full-time
    Onsite

    Skills Required

    LLM
    RAG
    LangChain
    Gen AI
    OpenAI
    LlamaIndex
    Vector RAG
    Prompt Engineering
    Pinecone
    Weaviate
    LangGraph
    AWS
    Python
    FastAPI
    Application Programming Interfaces (API)

    Description

    We're looking for a Senior AI/GenAI Engineer who is passionate about building production-ready Generative AI applications, not just prototypes. You'll work closely with founders, product teams, and US stakeholders to design, develop, and deploy scalable AI solutions that solve real-world business problems. This is an individual contributor role with high ownership and the opportunity to shape the company's AI platform and engineering best practices.

    Company: Maynor Consulting

    Role: Senior Artificial Intelligence Engineer

    Location: Chennai, Tamil Nadu, India

    Experience:

    • 5-10 Years
    • 5–9 years of software engineering experience
    • Hands-on experience building and deploying production AI/ML/Generative AI applications

    Key Skills:

    • AWS
    • Application Programming Interfaces (API)
    • Python
    • FastAPI
    • Vector RAG
    • Prompt Engineering
    • RAG
    • LlamaIndex
    • OpenAI
    • Pinecone
    • LangGraph
    • Weaviate
    • Docker
    • LLM
    • GenAI
    • LangChain

    Role Focus:

    • Design, develop, and deploy production-grade Generative AI applications
    • Build and optimize Retrieval-Augmented Generation (RAG) pipelines using embeddings and vector databases
    • Integrate and orchestrate LLMs such as OpenAI, Claude, Gemini, Llama, and other open-source models
    • Develop scalable backend services using Python and modern API frameworks
    • Design AI workflows with a focus on performance, reliability, scalability, and cost optimization
    • Build document ingestion, embedding, semantic search, and AI retrieval pipelines
    • Collaborate with product, engineering, and business teams to deliver AI-powered features for US customers
    • Drive engineering best practices, architecture decisions, and code quality across AI initiatives

    Nice to have:

    • Production deployment of LLM-powered applications
    • Experience building AI chatbots, copilots, document intelligence, or knowledge retrieval systems
    • Exposure to multimodal AI, evaluation frameworks, and observability for AI systems
    • Experience in startup or fast-paced product environments
    • CrewAI / AutoGen

    Other:

    • Build AI products used by enterprise customers in the US
    • Work on cutting-edge technologies including LLMs, RAG, Agentic AI, and modern AI infrastructure
    • High ownership with direct collaboration with founders and business stakeholders
    • Opportunity to influence technical architecture and product direction
    • Fast career progression toward Staff or Principal AI Engineer
    • Be part of a collaborative, fast-moving engineering team where your ideas have real impact
    • ₹ 23-100 Lacs PA

    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.

    Generative AI with Large Language Models

    Coursera

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

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