Job Description

STRATEGIC STAFFING SOLUTIONS (S3) HAS AN OPENING!

Senior AI Engineer
Location: Charlotte, NC (Hybrid schedule)
Duration: 12+ Months
Role Type: W2 Contract Engagement

*Must haves- AWS Bedrock, LLM (Claude preferred), Python/lambdas

Key Responsibilities:

• 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

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

*Beware of scams. S3 never asks for money during its onboarding process