Generative AI Engineer
$160,000–$200,000 year
RemoteUnited States
Job Summary
Develop, optimize, and refine AI-generated outputs through advanced prompt engineering techniques while designing agentic systems leveraging AWS Step Functions and Amazon Bedrock. Implement serverless workflows using AWS Lambda, API Gateway, and DynamoDB to support scalable AI-driven applications, and maintain prompt automation pipelines within the cloud-native ecosystem. Conduct performance monitoring, logging, and error handling for AI-related API calls, and explore prompt strategies to enhance model responses and mitigate inconsistencies. Build documentation, best practices, and internal tooling for prompt engineering, while staying updated on advancements in AI and LLMs to improve model performance.
Required Qualifications
- 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
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.