Senior AI and Generative AI Engineer

Careers; Bengaluru; À distance; INR 14 286 000 - 19 048 000; Plein temps

Résumé du poste

Gainwell Technologies seeks a senior Data Science AI Engineer to design, build, and deploy advanced AI and Gen AI solutions across healthcare platforms. You will develop state-of-the-art models, apply RAG architectures, and integrate with existing systems to improve outcomes and efficiency.

The role emphasizes governance, security, HIPAA compliance, and scalable ML Ops practices, with remote US work and leadership responsibilities across teams.

Qualifications

• 6+ years of AI/ML engineering experience with deployments.
• Experience with multiple LLM fine-tuning techniques.
• GEN AI solutions using RAG architecture and Lang Chain/Graph.
• Strong Python and AI framework skills (TensorFlow, PyTorch).
• Cloud platform experience (AWS/Azure/GCP) and MLOps.

Responsabilités

• Design, build, and train ML/DL/Gen AI models for healthcare.
• Develop end-to-end AI solutions across cloud and on-premise environments.
• Integrate AI models with existing systems; optimize for performance.
• Ensure HIPAA regulatory compliance and data privacy.
• Lead AI research, innovation, and governance guardrails.
• Automate workflows and improve business processes with AI.

Connaissances

Python

TensorFlow

PyTorch

LLM

Gen AI

MLOps

AWS/GCP/Azure

Big data

Spark

HIPAA compliance

Formation

Bachelor or Master in CS/AI/Data Science

Outils

LangChain

Lang Graph

Vector Databases

Graph Database

LLM fine-tuning

RAG architecture

Description du poste

Data Science AI Engineer, Advisor Summary This role is strictly involved in business analysis, requirements documentation, and healthcare reference data support activities and does not involve direct access to Protected Health Information (PHI), Personally Identifiable Information (PII), or any secured or confidential client data. The work is limited to analysis of healthcare claims, reference code sets, and system configurations using governed datasets and does not include handling or processing of sensitive health or personal information.

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.

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.

AI Research & Innovation

Stay updated with the latest AI/ML/ GEN AI advancements, exploring new technologies and methodologies to enhance solution effectiveness.

Compliance & Security

Ensure AI implementations adhere to healthcare industry regulations, ethical AI principles, and data privacy standards.

Automation & Workflow Enhancement

Identify opportunities to automate workflows and optimize business processes using AI-driven solutions.

What we’re looking for

• Bachelor or Master’s or higher in Computer Science, AI, Data Science, Engineering or a related field.
• 6 plus years of experience in AI/ML engineering, with a focus on developing and deploying AI solutions.
• 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
• 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.
• Front End Development -- Stream lit is a must.
• Good to have React, Angular or Vue.js
• Leadership Skills -- Should be able to work as a team lead, interface with team leads of other functions/departments, understand business requirements and translate the same to an appropriate solution that is feasible to develop and deploy.

What you should expect in this role

• Fully Remote Opportunity -- Work from anywhere in the US
• Opportunity to Work on Cutting-Edge AI Solutions in a mission-driven healthcare technology environment.

Experience Level Senior Level