Generative AI Engineer

About the job Generative AI Engineer

Generative AI Engineer

About Our Client

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

Strong TypeScript programming skills

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

A 401k retirement plan

Paid vacation and company holidays

Opportunity to make an impact at a rapidly growing mission-driven company transforming healthcare in the U.S.