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Summary Gainwell Technologies is seeking a highly skilled AI and GEN AI Engineer to design, develop, and deploy advanced AI and Generative AI (Gen AI) solutions, across our healthcare technology platforms. This role involves building and optimizing AI and GEN AI technologies, integrating them into existing systems, and ensuring their effectiveness in improving healthcare outcomes and operational efficiency while maintaining compliance with industry standards. Your role in our mission LLM Fine-Tuning: Hands-on with multiple techniques. Agentic AI: Built solutions using LangChain, LangGraph, CrewAI. Data Processing: Preprocessing, feature engineering, model training on large healthcare datasets. System Integration: Skilled in API development, seamless integration with existing stacks. Performance Optimization: Continuous monitoring, refinement, ML Ops & LLM Ops best practices. Compliance & Security: Guardrails, ethical AI, HIPAA/CMS adherence. Automation: Workflow enhancement through AI-driven solutions. Frontend: Streamlit required; React/Angular/Vue.js preferred. Leadership: Team lead experience, cross-functional collaboration, translating business needs into deployable solutions. What were looking for Bachelor or Masters or higher in Computer Science, AI, Data Science, Engineering or a related field. 5 plus to around 15 years of experience in AI/ML engineering, with a focus on developing and deploying AI solutions.Hands-on expertise in machine learning, deep learning, Gen AI (multi modal LLMs), NLP, and computer vision.Strong programming skills in Python, TensorFlow, PyTorch, and other AI frameworks. Experience developing, deploying and finetuning LLMs (GPT, Gemini, Claude or similar) for real world applications including prompt engineering, model optimization and inference efficiency. Experience with cloud platforms (AWS, Azure, or GCP) and MLOps for scalable AI deployments. Proficiency in working with big data technologies (Spark, Hadoop, SQL, NoSQL databases). Robust problem-solving skills with the ability to translate business challenges into AI-driven solutions. Knowledge of healthcare AI applications and regulatory compliance (HIPAA, CMS) is a plus. Understanding of business use cases, strong interpersonal skills, architecting skills and abilities to convince multiple stakeholders. What you should expect in this role Fully Remote Opportunity Work from anywhere in India Minimal Travel Required Occasional travel opportunities (0-10%). Opportunity to Work on Cutting-Edge AI Solutions in a mission-driven healthcare technology environment Summary Gainwell Technologies is seeking a highly skilled AI and GEN AI Engineer to design, develop, and deploy advanced AI and Generative AI (Gen AI) solutions, across our healthcare technology platforms. This role involves building and optimizing AI and GEN AI technologies, integrating them into existing systems, and ensuring their effectiveness in improving healthcare outcomes and operational efficiency while maintaining compliance with industry standards. Your role in our mission LLM Fine-Tuning: Hands-on with multiple techniques. Agentic AI: Built solutions using LangChain, LangGraph, CrewAI. Data Processing: Preprocessing, feature engineering, model training on large healthcare datasets. System Integration: Skilled in API development, seamless integration with existing stacks. Performance Optimization: Continuous monitoring, refinement, ML Ops & LLM Ops best practices. Compliance & Security: Guardrails, ethical AI, HIPAA/CMS adherence. Automation: Workflow enhancement through AI-driven solutions. Frontend: Streamlit required; React/Angular/Vue.js preferred. Leadership: Team lead experience, cross-functional collaboration, translating business needs into deployable solutions. What were looking for Bachelor or Masters or higher in Computer Science, AI, Data Science, Engineering or a related field. 5 plus to around 15 years of experience in AI/ML engineering, with a focus on developing and deploying AI solutions.Hands-on expertise in machine learning, deep learning, Gen AI (multi modal LLMs), NLP, and computer vision.Strong programming skills in Python, TensorFlow, PyTorch, and other AI frameworks. Experience developing, deploying and finetuning LLMs (GPT, Gemini, Claude or similar) for real world applications including prompt engineering, model optimization and inference efficiency. Experience with cloud platforms (AWS, Azure, or GCP) and MLOps for scalable AI deployments. Proficiency in working with big data technologies (Spark, Hadoop, SQL, NoSQL databases). Strong problem-solving skills with the ability to translate business challenges into AI-driven solutions. Knowledge of healthcare AI applications and regulatory compliance (HIPAA, CMS) is a plus. Understanding of business use cases, strong interpersonal skills, architecting skills and abilities to convince multiple stakeholders. What you should expect in this role .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.