Offer summary

Qualifications:

Bachelor's or Master's degree in Computer Science, Data Science, or a related field., Proven experience in AI and Generative AI technologies, particularly in healthcare applications., Strong skills in machine learning, deep learning, and natural language processing., Familiarity with compliance standards such as HIPAA and experience in ML Ops and LLM Ops..

Key responsibilities:

Design, develop, and deploy AI and Generative AI solutions for healthcare technology platforms.

Integrate AI technologies into existing systems and ensure their effectiveness in improving healthcare outcomes.

Work with large healthcare datasets, performing data preprocessing and model training while ensuring regulatory compliance.

Continuously monitor and optimize AI models for accuracy and efficiency, collaborating with software engineers for seamless integration.

Job description

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

Development based on AI/ GEN AI– Design, build, and train machine learning, deep learning, time series models, Gen AI (Multi modal LLMs), predictive analytics, Natural Language Processing, Image Processing solutions for healthcare applications.
Experienced in multiple LLM fine tuning techniques.
Experienced in building GEN AI solutions using RAG architecture.
Skilled in both Lang Chain and Lang Graph.
Experience in Agentic AI Frameworks and Workflow using Lang Chain, Lang Graph or Crew AI or Open AI Swarm.
Experienced in multiple Vector Databases as well as Graph Database
Skilled in Agentic AI Framework and has built at least one solution using Agentic AI.
End-to-End AI Solution Deployment – Develop, test, and deploy AI solutions in cloud and on-premises environments, ensuring reliability, scalability, and real-world impact.
Data Processing – Work with large healthcare datasets, performing data preprocessing, feature engineering, and model training while ensuring compliance with HIPAA and other regulatory standards.
System Integration – Skilled in API development and integrations.
Implement and optimize AI models within Gain well’s existing technology stack, collaborating with software engineers to ensure seamless integration.
Experienced in ML Ops and LLM Ops. Experienced in evaluating models and continuous performance monitoring of both ML/DL and LLMs. Experienced in applying security measures in GEN AI solutions, implementing guard rails.
Performance Optimization – Continuously monitor, refine, and optimize AI / GEN AI models for accuracy, efficiency, and speed, leveraging ML Ops and LLM Ops best practices.