TopGenAIJobs

TopGenAIJobs

A Gen AI & Agentic AI Jobs Platform to discover high-quality Gen AI and Agentic AI opportunities from top companies worldwide.

topgenaijobs.com

Quick Links

  • Home
  • Browse Jobs
  • Browse by Category
  • Companies
  • Post a Job
  • Career Resources
  • About Us

Resources

  • Blog
  • Career Guide
  • Resume Tips
  • Interview Prep
  • Salary Guide
  • Skill Demand Index

Top Gen AI Roles

  • Gen AI Engineer Jobs
  • Agentic AI Engineer Jobs
  • Prompt Engineer Jobs
  • LLM Engineer Jobs
  • RAG Engineer Jobs
  • MLOps Engineer Jobs
  • Remote AI Jobs
  • Entry Level AI Jobs
  • Senior AI Jobs

Legal

  • Privacy Policy
  • Terms of Service
  • Cookie Policy
  • Contact

© 2026 TopGenAIJobs (Gen AI & Agentic AI Jobs Platform). All rights reserved.

Made with ❤ by TopGenAIJobs Team

    Home/Jobs/Senior Software Engineer, AI

    Senior Software Engineer, AI

    Stryker

    Gurugram
    3+ years
    Today
    ₹15–28 LPA
    Full-time
    Hybrid

    Skills Required

    LLM
    Prompt Engineering
    Retrieval-Augmented Generation (RAG)
    Agentic AI
    LangChain
    Python
    PyTorch
    TensorFlow
    Machine Learning
    Deep Learning
    Computer Vision
    OCR
    API development
    Backend services
    Distributed applications

    Description

    Senior Software Engineer, AI role at Stryker, Gurugram, HR 122001, India. Design, develop, and deploy AI-powered applications leveraging Generative AI, Large Language Models (LLMs), Computer Vision, Machine Learning, and Agentic AI technologies.

    Company: Stryker

    Role: Senior Software Engineer, AI

    Location: Gurugram, HR 122001, India, Hybrid

    Experience:

    • 3+ years of relevant industry experience
    • Master's Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Software Engineering, Electrical Engineering, or a related field

    Key Skills:

    • Python
    • Machine Learning
    • Deep Learning
    • PyTorch
    • TensorFlow
    • Computer Vision
    • OCR
    • LLMs
    • Prompt Engineering
    • Retrieval-Augmented Generation (RAG)
    • Agentic AI
    • APIs
    • Backend Services
    • Distributed Applications
    • Cloud Platforms
    • Azure
    • AWS
    • GCP
    • Docker
    • Kubernetes
    • MLOps

    Qualification:

    • Bachelor's Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Software Engineering, Electrical Engineering, or a related field
    • Master's Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Software Engineering, Electrical Engineering, or a related field

    Role Focus:

    • Design, develop, and deploy AI-powered applications
    • Build scalable backend services, APIs, and workflow orchestration components for AI solutions
    • Design and implement Retrieval-Augmented Generation (RAG) pipelines, intelligent assistants, and workflow automation solutions
    • Develop Computer Vision and OCR solutions for image analysis, document digitization, information extraction, and automation workflows
    • Train, optimize, evaluate, and deploy machine learning and deep learning models for production use
    • Build data pipelines supporting AI model training, validation, and inference workflows
    • Develop cloud-native AI applications and deploy solutions on Azure and other cloud platforms
    • Implement MLOps best practices including model versioning, monitoring, CI/CD, and deployment automation
    • Collaborate with cross-functional teams to translate business and clinical requirements into scalable AI solutions
    • Create technical documentation, architecture diagrams, validation reports, and deployment artifacts

    Nice to have:

    • Experience with Azure AI Services, Azure OpenAI, Azure Machine Learning, or similar AI platforms
    • Experience with LangChain, LangGraph, Semantic Kernel, AutoGen, or equivalent AI frameworks
    • Experience building production-grade GenAI, RAG, OCR, or intelligent document processing solutions
    • Experience with MLflow, monitoring tools, and model lifecycle management
    • Exposure to healthcare, medical imaging, or regulated environments
    • Experience creating technical architecture documentation and contributing to solution design discussions

    Other:

    • Full Time, Hybrid work flexibility
    • Total rewards package including bonuses, healthcare, insurance benefits, retirement programs, wellness programs, and service and performance awards
    • Stryker is a global leader in medical technologies

    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.

    More LLM jobs

    Senior AI Engineer

    Ecolab

    Bengaluru

    Today

    Research Engineer, Applied ML

    Triomics

    India

    Today

    AI Engineer

    Exponentia.ai

    Mumbai

    Today

    AI Engineer

    Exponentia.ai

    Mumbai

    Today

    AI Engineer – Generative AI & GCP

    UST

    Thiruvananthapuram

    Today

    GenAI Engineer - RAG/AIML

    Exponentia.ai

    Delhi

    Today