Applied AI Engineer

About the role

A leading technology company specializing in innovative AI solutions and cloud-native platforms is seeking a skilled engineer to drive the development of production-ready AI systems.

Responsibilities

• Design, build, and deploy LLM-powered agents, workflows, and applications using Amazon Bedrock.
• Work with Bedrock capabilities including Agents, Knowledge Bases, Guardrails, and multiple foundation models.
• Build agentic workflows incorporating RAG, tool/function calling, APIs, and enterprise data sources.
• Develop using standardized AI platform templates, CI/CD pipelines, guardrails, and evaluation harnesses.
• Build and maintain LLM evaluation suites as an integral part of the engineering lifecycle, including golden datasets and regression testing.
• Integrate AI agents with enterprise applications and data through APIs and AWS services such as Lambda, Step Functions, SQS/SNS, and API Gateway.

Requirements

• 8+ years of software engineering experience.
• At least 2.5+ years of experience building production LLM applications, including agents, RAG pipelines, and tool/function calling.
• Strong programming skills in Python and/or TypeScript.
• Strong API engineering experience, including design, versioning, authentication, and error handling.
• Strong practical experience with prompt engineering and context engineering.
• Hands-on AWS experience with a preference for Amazon Bedrock; experience with OpenAI/Anthropic APIs combined with AWS is also considered.

Benefits

• Opportunity to work on cutting-edge AI systems and LLM-powered agents.
• Engaging production engineering role focused on real-world business use cases.
• Collaborative environment with a focus on reliable and measurable AI applications.