Gen AI Engineer, Data Science

Gainwell Technologies

AI Engineer designing, developing, and deploying advanced AI solutions across healthcare technology platforms. Focus on enhancing healthcare outcomes while ensuring compliance with industry standards.

Posted 7/2/2026full-timeRemote • 🇮🇳 IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and deploying advanced AI and Generative AI solutions within healthcare technology, with a strong focus on compliance, performance optimization, and system integration. Proficient in machine learning, deep learning, and big data technologies, ensuring effective healthcare outcomes through innovative AI-driven solutions.

Highest-signal resume keywords

AI/ML EngineeringLLM Fine-TuningPython ProgrammingCloud Platforms (AWS, Azure, GCP)Healthcare AI Compliance (HIPAA, CMS)

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Machine LearningDeep LearningGenerative AINatural Language Processing (NLP)Computer VisionData ProcessingAPI DevelopmentPerformance OptimizationFeature EngineeringModel Training

Soft Skills

Problem-SolvingCross-Functional CollaborationInterpersonal SkillsLeadership

Tools & Technologies

TensorFlowPyTorchLangChainLangGraphCrewAIStreamlitReactAngularVue.jsMLOps

Industry Keywords

Healthcare TechnologyComplianceEthical AIBig Data TechnologiesRegulatory Compliance

Tech Stack

Tools & technologies

AngularAWSAzureCloudGoogle Cloud PlatformHadoopJavaScriptNoSQLPythonPyTorchReactSparkSQLTensorflowVue.js

About the role

Key responsibilities & impact

Design, develop, and deploy advanced AI and Generative AI (Gen AI) solutions, across healthcare technology platforms
Build and optimize AI and GEN AI technologies, integrating them into existing systems
Ensure effectiveness in improving healthcare outcomes and operational efficiency while maintaining compliance with industry standards
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

Requirements

What you’ll need

Bachelor or Master’s 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.

Benefits

Comp & perks

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