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    Home/Jobs/Senior Gen AI Engineer

    Senior Gen AI Engineer

    Trinamix

    Pune
    5-10 years
    Today
    ₹23–44 LPA
    Full-time
    Onsite

    Skills Required

    LLM
    RAG
    Gen AI
    Agentic AI
    Fine-tuning
    Prompt Engineering
    OpenAI
    Anthropic Claude
    Google Gemini
    Hugging Face
    LangChain
    LlamaIndex
    Vector Database
    Multi-Agent Frameworks
    Function Calling

    Description

    Trinamix is seeking a Senior GenAI Engineer to lead the design, development, and deployment of enterprise-grade AI solutions integrated with Oracle ERP ecosystems.

    Company: Trinamix

    Role: Senior Gen AI Engineer

    Location: Pune, Maharashtra | Remote / PAN India

    Experience:

    • 5 to 10 years

    Responsibilities:

    • Design and develop enterprise-scale AI and Generative AI solutions
    • Build AI products and accelerators integrating with Oracle ERP and enterprise ecosystems
    • Architect and implement RAG-based knowledge management systems
    • Design and develop AI Agents, Multi-Agent Systems, and Autonomous Workflows
    • Develop scalable backend services using Python and FastAPI
    • Build and optimize LLM-powered applications using OpenAI, Anthropic, Gemini, Llama, and open-source models
    • Implement vector search, embeddings, semantic retrieval, and document intelligence solutions
    • Design APIs and microservices for AI model integration
    • Lead the complete AI product lifecycle from ideation to deployment
    • Collaborate with Oracle consultants, product teams, architects, and business stakeholders
    • Optimize AI model performance, latency, scalability, and operational costs
    • Establish AI engineering standards, governance, and security best practices
    • Mentor junior engineers and provide technical leadership

    Additional responsibilities:

    • Integrate AI solutions with enterprise applications including Oracle ERP Cloud, SCM Cloud, HCM Cloud, EPM Cloud, CX Cloud
    • Work on Enterprise Knowledge Management Systems
    • Engage in Business Process Automation and Intelligent Document Processing

    Nice to have:

    • Experience building enterprise AI products from scratch
    • Experience deploying AI applications to production environments
    • Experience with AI Agents and Workflow Automation
    • Knowledge of OCR, NLP, Computer Vision, or Speech AI
    • Exposure to Oracle ecosystem and enterprise business applications
    • Prior experience leading engineering teams or AI projects

    More skills:

    Large Language Models (LLMs), Retrieval Augmented Generation (RAG), Fine-Tuning & Model Optimization, Function Calling & Tool Usage, AI Workflow Automation, AI Evaluation Frameworks, LangGraph, CrewAI, AutoGen, DSPy, Python, FastAPI, REST APIs, Microservices Architecture, Asynchronous Programming, System Design, Vector Databases & Search, Pinecone, Weaviate, ChromaDB, FAISS, Elasticsearch, Azure AI Search, AWS, Azure, GCP, Docker, Kubernetes, CI/CD Pipelines, Terraform, Serverless Architectures, MLflow, LangSmith, Weights & Biases, Model Monitoring, Experiment Tracking, AI Governance

    Other:

    • Opportunity to work on cutting-edge AI platforms integrating with Oracle ERP, SCM, HCM, EPM, and enterprise business applications
    • Work at the intersection of Oracle Cloud and Generative AI
    • High-growth environment with strong innovation focus
    • Product mindset with a focus on business value
    • Strong problem-solving and analytical thinking
    • Excellent communication and stakeholder management
    • Ability to work independently in a fast-paced environment
    • Strong leadership and mentoring capabilities

    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.

    Introduction to Generative AI

    Coursera

    Google Cloud introduction covering Gen AI concepts, model types, and Google AI tools.

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