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    Home/Jobs/AI Engineer (LLM / GenAI)

    AI Engineer (LLM / GenAI)

    Prescience Decision Solutions

    United States
    4+ years
    Today
    ₹15–28 LPA
    Full-time
    Remote

    Skills Required

    LangChain
    LLM
    RAG
    Gen AI
    Python
    SQL
    Docker
    Kubernetes
    AWS
    Azure
    GCP
    FastAPI
    Node.js
    React
    TypeScript

    Description

    Prescience Decision Solutions is looking for an AI Engineer (LLM / GenAI) with 4+ years of experience to design, build, and deploy scalable AI solutions leveraging LLMs and agentic AI systems.

    Company: Prescience Decision Solutions

    Role: AI Engineer (LLM / GenAI)

    Location: Remote, India

    Experience:

    • 4 + years

    Key Skills:

    • Python
    • SQL
    • GenAI frameworks (e.g., LangChain)
    • LLMs
    • RAG
    • embedding
    • prompt tuning
    • AI agents
    • multi-agent systems
    • cloud platforms (AWS/Azure/GCP)
    • containerization
    • REST APIs
    • data integration
    • FastAPI
    • Node.js
    • React
    • TypeScript
    • MLOps
    • deployment practices

    Role Focus:

    • Design and deploy secure, scalable GenAI architectures integrated into applications
    • Build and deploy REST APIs for AI/ML models
    • Work with Docker, Kubernetes in cloud environments (AWS/Azure/GCP)
    • Fine-tune and optimize LLMs (GPT, VAEs, GANs, transformer-based models)
    • Implement RAG pipelines, embedding, and prompt engineering techniques
    • Build and deploy AI agents using LangChain, LangGraph, CrewAI, Autogen, AgentFlow
    • Implement multi-agent systems, orchestration, tool integration, and state management
    • Develop autonomous or semi-autonomous workflows for business use cases
    • Set up end-to-end MLOps pipelines (CI/CD, monitoring, retraining)
    • Optimize performance, scalability, and infrastructure costs
    • Develop APIs using FastAPI / Node.js
    • Work with React, TypeScript, async patterns, WebSockets/SSE
    • Handle data integration using REST APIs, SQL, and external systems
    • Partner with Engineering, Product, and Data teams
    • Communicate complex AI concepts clearly to technical and non-technical stakeholders

    Nice to have:

    • 4+ years of experience with GenAI/LLMs in production
    • Experience with agent orchestration frameworks (CrewAI, LangGraph, Autogen)
    • Exposure to client-facing AI solutions or cross-functional projects
    • Open-source contributions, research, or AI project portfolio

    Other:

    • Competitive salary and performance-based bonuses
    • Comprehensive insurance plans
    • Collaborative and supportive work environment
    • Chance to learn and grow with a talented team
    • A positive and fun work environment

    Prepare for this role

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

    Python 3 Programming Specialization

    Coursera

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

    Python for Everybody Specialization

    Coursera

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

    Generative AI with Large Language Models

    Coursera

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

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