Generative AI Engineer

Our client is an innovative healthcare technology company that's on a mission to revolutionize health insurance in the United States. They're building a more personalized, affordable, and transparent alternative to traditional health insurance models. Their diverse team brings together expertise from technology, healthcare policy, and various other backgrounds, all united by the goal of transforming a complex industry. About the Role We're recruiting a Generative AI Engineer with deep expertise in AWS and serverless architecture to optimize and refine large language model (LLM) interactions while ensuring seamless integration into cloud-based environments. This role requires experience in designing and deploying scalable, serverless AI applications using Amazon Bedrock, AWS Step Functions, AWS Lambda, API Gateway, DynamoDB, and other cloud-native services. What You'll Do Develop, optimize, and refine AI-generated outputs through advanced prompt engineering techniques Design agentic systems leveraging AWS Step Functions and Amazon Bedrock Design and implement serverless workflows to support AI-driven applications using AWS Lambda, API Gateway, and DynamoDB Build and maintain scalable prompt automation pipelines using AWS services Explore prompt strategies to enhance AI model responses and mitigate inconsistencies or hallucinations Conduct performance monitoring, logging, and error handling for AI-related API calls and workflows in AWS Stay updated on advancements in AI, LLMs, and cloud computing, applying new techniques to improve model performance Develop documentation, best practices, and internal tooling for prompt engineering within a serverless ecosystem What You'll Bring Bachelor's or Master's degree in Computer Science, Information Systems, Business Administration, or a related field 4+ years of professional experience in software engineering, with a focus on AI or machine learning platforms Fluency in AWS serverless architecture, including Lambda, API Gateway, Step Functions, S3, DynamoDB, and IAM Hands-on experience with AI APIs such as OpenAI, Anthropic, and Hugging Face Understanding of LLM behavior and prompt engineering techniques, including model biases, tokenization, embeddings, and response optimization Cloud-native development expertise, including deploying and scaling AI applications in AWS Experience with infrastructure as code (IaC) using AWS SAM, AWS CDK, Serverless framework, or CloudFormation Familiarity with monitoring and logging tools such as AWS CloudWatch, X-Ray, or Datadog Ability to troubleshoot performance bottlenecks in serverless environments and optimize for cost-efficiency What You'll Get Competitive salary, bonus opportunity, and equity package Comprehensive Medical, Dental, and Vision benefits Paid vacation and company holidays Opportunity to make an impact at a rapidly growing mission-driven company transforming healthcare in the U.S. #J-18808-Ljbffr TechStarsGroup