AWS Senior AI Agent Engineer

Job Type: 12 – month contract (potential to extend or convert to full-time)

Location: Charlotte, NC. Hybrid.

Job Description:

An AWS Senior AI Agent Engineer is responsible for designing and implementing highly complex

agentic/prompt engineering solutions.

Individuals with this role are required to:

• Design and implement agentic AI solutions using AWS Bedrock, including Agents, Knowledge

Bases, and Guardrails

• Build serverless architectures using AWS Lambda, Step Functions, and EventBridge to

orchestrate AI agent workflows

• Design and engineer sophisticated prompts for agentic AI systems that can plan, reason, and

execute multi-step workflows

• Develop prompt architectures that enable AI agents to use tools, APIs, and external resources

effectively

• Create and refine chain-of-thought, tree-of-thought, and ReAct (Reasoning + Acting) prompting

strategies

• Build evaluation frameworks to measure agent performance, reliability, and safety
• Collaborate with ML and software engineers to integrate prompt strategies with agent frameworks

(LangChain, Bedrock AgentCore) and leveraging Bedrock agents/services/foundational models.

• Optimize prompts for accuracy, efficiency, cost, and latency in production environments
• Implement guardrails and safety measures to ensure responsible agent behavior
• Document prompt patterns, best practices, and design principles for the broader team
• Stay current with the latest research in agentic AI, prompt engineering, and LLM capabilities
• Design and build highly complex software solutions (specifically 2+ years of experience with AWS

serverless development and 4+ years of experience on a programing language such as Java or

Python)

• Program well-designed, efficient code independently.
• Collaborate with designers, developers, and product owners to build solutions.
• Clearly communicate team wide progress and identify blocking processes/patterns that hold a

team back.

• Participate in paired programming and code reviews with juniors to expand the team’s collective

knowledge and understanding of software engineering.

• Complete independent research to refine best practices and present work to peers.
• Turn complex ideas into manageable pieces of work to complete as part of a product team.
• Coach and mentor prompt engineers.
• Provide technical guidance to leadership so that solutions are built with innovation and

sustainability in mind.

• Learn the business drivers of a product and help drive the technical direction of a product to fulfill

the desired vision.

Qualifications

• 3+ years of experience in prompt engineering, AI/ML, or related fields
• Deep understanding of large language models (e.g. Claude) and their capabilities
• Proven experience designing prompts for autonomous agents and multi-step reasoning tasks
• Strong knowledge of agentic frameworks and patterns (ReAct, Plan-and-Execute, Reflection, etc.)
• Strong experience with AWS Bedrock (Agents, Knowledge Bases, Guardrails, and foundational

models)

• Proficiency with AWS serverless services: Lambda, Step Functions, API Gateway, DynamoDB, S3
• Knowledge of AWS security best practices including IAM, KMS, and VPC configurations
• Familiar with Terraform and HCP
• Proficiency in Python and experience with AI agent frameworks (e.g LangChain)
• Experience with API integration and tool-use patterns for AI agents
• Strong analytical and problem-solving skills with attention to detail
• Excellent written and verbal communication skills
• A breadth of experience building software solutions (through a strong mix of independent

research/projects and industry expertise).

• 5-9 years’ previous experience in software development. (Either 9 years of experience specifically

in software development or seven years of experience in software development in combination

with 2 years alternative experience in a related field). Ideally has a portfolio of work – code

samples, etc.

• Deep and solid understanding of APIs. Have been involved in

designing/building/implementing/consuming APIs.

• Familiarity with several frameworks. Resulting code is concise and easy-to-follow.
• Experience with automation and optimization. Looks for ways to create repeatable patterns that

increase the efficiency of the team.

• Experience and ability to manage and optimize databases.
• Understanding of functional programming and how to apply functional concepts in any language.

Quick to picking up a new language or adopting a more recent version of a language.

• Familiarity and able to comfortably work with multiple platforms.
• Experience turning complex ideas into user stories. From that, can turn user stories into workable

solutions, providing estimates to complete that work, and breaking down complex work into

smaller components.

• Previous experience collaborating on a cross-functional team.
• Deep understanding of development cycle.
• Ability to debug and avoid future problems by building more robust solutions.
• Ability to look at previous personal or team experience and use this to analyze

mistakes/successes, draw conclusions, and design future solutions. Resulting solutions have few

bugs and quick remediation times.

• Experience building solutions with the larger team in mind. Solutions have the goal of improving

software engineering at the team level.

• Experience with teaching and mentoring team members at various levels.
• A deep and solid understanding of cyber security principles such as authentication, authorization

and encryption.

• Experience working with one or more CI/CD stacks and associated best practices. Ability to setup

CI/CD for new products with no guidance. Recommends and implements modifications to CI/CD

processes when continuous improvement opportunities are identified.

Pay: $95,977.73 - $115,586.09 per year

Work Location: Hybrid remote in Charlotte, NC 28216