AI/ML Engineer, Associate — United States

About the Role

The Associate AI/ML Engineer will contribute to developing next-generation conversational and generative AI solutions for healthcare. This role involves designing, building, and deploying scalable AI/ML features and cloud-native workflows to address complex healthcare challenges.

You will collaborate with cross-functional teams to deliver secure, high-impact AI capabilities and contribute to improving health outcomes. The position offers remote work within the United States and exposure to emerging AI architectures and platforms.

Key Responsibilities

• Design, build, and deploy machine learning and generative AI solutions, including conversational agents and Natural Language Processing (NLP) services for healthcare.

• Develop, evaluate, and optimize conversational bots using AWS Bedrock, Bedrock AgentCore, AWS Lex, or similar frameworks.

• Implement cloud-native AI infrastructure using AWS services, including Lambda, DynamoDB, S3, API Gateway, IAM, and CloudWatch.

• Apply Retrieval-Augmented Generation (RAG) patterns, vector databases, and model optimization techniques to support scalable performance.

• Incorporate Responsible AI practices, security controls, and prompt engineering to improve accuracy and protect privacy.

• Collaborate with cross-functional teams throughout the AI lifecycle, including data preparation, model development, deployment, monitoring, and documentation.

• Design, develop, and deploy AI-powered solutions that address business challenges through responsible AI practices.

Required Qualifications and Experience

• At least 2 years of experience in software development, machine learning, or AI/ML engineering.

• At least 2 years of full-stack engineering experience, including backend and frontend capabilities.

• At least 2 years of experience building AI/ML solutions using large language models (LLMs) and generative AI.

• At least 2 years of experience deploying and maintaining cloud applications using AWS, GCP, or Azure.

• At least 2 years of experience applying NLP and LLM technologies, including transformers and GPT, in production environments with large datasets.

• Experience developing conversational AI solutions, such as chatbots and voice bots, using deterministic or generative platforms.

• Knowledge of LLMs, generative AI, NLP/NLU, transformers, and RAG.

• Ability to collaborate across cross-functional teams and communicate technical concepts clearly.

• Strong problem-solving skills and a focus on responsible AI practices.

Compensation and Benefits

• Comprehensive benefits package.

• Incentive and recognition programs.

• Equity stock purchase.

• 401(k) contribution.

Work Arrangement

• Remote work within the United States.