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    Home/Jobs/AI Engineer, Principal

    AI Engineer, Principal

    Gainwell Technologies

    Bengaluru
    12+ years
    2 days ago
    ₹50–88 LPA
    Full-time
    Remote

    Skills Required

    LLM
    RAG
    LangChain
    Agentic AI
    Gen AI
    Embeddings
    Vector Database
    Prompt Engineering
    Fine-tuning
    Machine Learning
    Deep Learning
    Time Series Models
    Predictive Analytics
    NLP
    Image Processing

    Description

    Gainwell Technologies seeks a Principal AI Engineer to design, develop, and deploy advanced AI and Generative AI solutions for healthcare technology platforms, focusing on product development without handling sensitive health information.

    Company: Gainwell Technologies

    Role: AI Engineer, Principal

    Location: Bangalore, KA, IN, 560100 | Remote India

    Experience:

    • 12 plus years of experience in AI/ML engineering
    • Experience developing and deploying AI solutions
    • Experience with machine learning, deep learning, Gen AI (multi modal LLMs), NLP, and computer vision
    • Experience developing, deploying and finetuning LLMs (GPT, Gemini, Claude or similar)
    • Experience with cloud platforms (AWS, Azure, or GCP) and MLOps
    • Experience with big data technologies (Spark, Hadoop, SQL, NoSQL databases)

    Qualification:

    • Bachelor or Master’s or higher in Computer Science, AI, Data Science, Engineering or related field

    Responsibilities:

    • Design, build, and train machine learning, deep learning, time series models, Gen AI, predictive analytics, NLP, and image processing solutions for healthcare
    • Build GEN AI solutions using RAG architecture
    • Develop, test, and deploy AI solutions in cloud and on-premises environments
    • Work with large healthcare datasets performing data preprocessing, feature engineering, and model training
    • Implement and optimize AI models within existing technology stack
    • Collaborate with software engineers for seamless integration
    • Evaluate models and continuously monitor performance of ML/DL and LLMs
    • Apply security measures and implement guard rails in GEN AI solutions
    • Continuously monitor, refine, and optimize AI/GEN AI models for accuracy, efficiency, and speed
    • Stay updated with latest AI/ML/GEN AI advancements and explore new technologies
    • Ensure AI implementations adhere to healthcare regulations, ethical AI principles, and data privacy standards
    • Identify opportunities to automate workflows and optimize business processes using AI
    • Lead team and interface with other department leads to translate business requirements into feasible solutions

    Additional responsibilities:

    • Ensure compliance with HIPAA and other regulatory standards
    • Work limited to application development without access to PHI, PII, or secured/confidential client data

    Nice to have:

    • Knowledge of healthcare AI applications and regulatory compliance (HIPAA, CMS)
    • Good to have front end development skills in React, Angular, or Vue.js
    • Strong interpersonal skills and ability to convince multiple stakeholders
    • Architecting skills

    More skills:

    AI, Multi modal LLMs, LLM fine tuning techniques, Lang Graph, Agentic AI Frameworks, Crew AI, Open AI Swarm, Graph Database, API development, ML Ops, LLM Ops, Python, TensorFlow, PyTorch, AI frameworks, Cloud platforms (AWS, Azure, GCP), Big data technologies (Spark, Hadoop, SQL, NoSQL), Streamlit, React, Angular, Vue.js

    Other:

    • Fully remote opportunity to work from anywhere in India
    • Opportunity to work on cutting-edge AI solutions in a mission-driven healthcare technology environment

    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.

    Deep Learning Specialization

    Coursera

    Five-course deep learning series covering CNNs, RNNs, transformers, and ML strategy.

    Functions, Tools and Agents with LangChain

    Coursera

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

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