Our Client Currently looking for Senior AI/ML Engineer
Job Responsibilities :
– Drive responsible use of AI/ML adoption across the team, driving innovative use of both Generative AI and traditional ML techniques.
– Design, develop, test, deploy, maintain, and continuously improve AI-powered software solutions to meet customer and business needs.
– Build responsible AI solutions and service components to support the Provider community, ensuring compliance with ethical and regulatory standards.
– Develop new features leveraging AI/ML, including Generative AI models, predictive analytics, and automation capabilities.
– Provide technical leadership for AI initiatives, including Chatbots and conversational AI solutions.
– Partner with product management, architects, and engineering leadership to deliver creative, scalable AI solutions for healthcare challenges.
– Drive alignment with enterprise AI strategies and ensure solutions meet business objectives and engineering best practices.
– Accountable for high-quality software deliverables and operational excellence.
– Mentor and train team members on AI/ML technologies, frameworks, and responsible AI practices.
– Collaborate with broader engineering teams to integrate AI into cloud modernization efforts and digital first initiatives.
– Exercise independent judgment to prioritize, plan, and manage AI-related activities and projects.
Qualifications :
– 7+ years of software engineering experience.
– 4+ years of hands-on experience building AI/ML solutions, including LLMs, Generative AI, and traditional ML models, Design, build, and deploy LLM powered solutions, including RAG pipelines, agentic workflows, decisioning agents, and orchestration layers.
– Design and build end to end AI services including backend APIs, orchestration services, and UI integrations for claims users and operations teams.
– Develop scalable backend services using Java (Spring Boot) and modern API frameworks.
– Build and integrate web applications using modern frontend frameworks (React or equivalent) where needed for AI driven user experiences.
– Architect cloud native solutions on AWS, leveraging services such as Lambda, ECS/EKS, S3, DynamoDB/RDS, OpenSearch, and event driven patterns.
– Strong experience with Chatbots, conversational AI, and NLP-based solutions.
– Strong knowledge of security, access controls, logging, monitoring, performance tuning, disaster recovery, and production operations.
– Develop AI components leveraging AWS Bedrock, foundation models, embeddings, vector stores, and prompt engineering best practices, Strong experience, with deep backend expertise in Python, Java and REST/GraphQL APIs.
– Implement agent based architectures (AgentCore / agentic cloud patterns) to support complex claims workflows such as adjudication assistance, exception handling, and HITL (human in the loop) scenarios.
– Continuously evaluate model performance, hallucination risks, explainability, and operational metrics in production.
Preferred skills :
– Experience developing and deploying applications on AWS.
– Strong understanding of security, IAM, data protection, logging, monitoring, performance tuning, disaster recovery, and production operations.
– Prior experience modernizing legacy systems using AIenabled microservices.
Qualifications :
– B.Tech in Computer Science, Engineering, or related technical field (or equivalent experience).
– Experience in the healthcare industry.
– Full-stack engineering experience.
Healthcare domain exposure (preferred) :
– Experience with healthcare datasets (claims, eligibility, prior authorization, provider directories)
– Understanding of clinical or operational workflows (provider calls, documentation, adjudication steps)
– Awareness of healthcare data sensitivity and HIPAA like compliance expectations.
Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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