Generative AI Engineer

Generative AI Engineer

Atlanta, Georgia, United States

$  -  (US Dollar)

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.

• 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

• 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 Type Script 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 Cloud Formation
• Familiarity with monitoring and logging tools such as AWS Cloud Watch, X-Ray, or Datadog
• Ability to troubleshoot performance bottlenecks in serverless environments and optimize for cost-efficiency

• 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.