AWS AI Bedrock Developer ___ Charlotte, NC; Onsite ___

AWS AI Bedrock Developer

Location:

Charlotte, NC (100% Onsite) Long Term Contract – W2 / C2C

Client is seeking a highly skilled AI Agent Developer to design, build, and deploy intelligent autonomous agents using cutting-edge frameworks and generative AI platforms. This role requires deep expertise in prompt engineering, agent orchestration, and working with AWS-native services, particularly Amazon Bedrock.

Core Competencies:

• AWS Cloud Computing
• Artificial Intelligence / Generative AI

Key Responsibilities:

• Autonomous Agent Development:
  • Design, develop, and deploy multi-step, multi-tool AI agents capable of reasoning, decision-making, and task execution.
  • Leverage frameworks like Lang-Chain, Semantic Kernel, or custom-built orchestration layers to power agent behavior.
• Prompt Engineering:
  • Craft, refine, and optimize advanced prompts to improve LLM accuracy, reliability, and contextual performance.
  • Develop and manage prompt chains, system prompts, and dynamic context strategies to enable adaptive agent responses.
  • Continuously test and iterate prompts based on performance metrics and user feedback.
• Amazon Bedrock Development:
  • Implement generative AI solutions using Amazon Bedrock with models from providers such as Anthropic (Claude), Cohere, Stability AI, and Amazon Titan.
  • Utilize Bedrock capabilities including Guardrails, Knowledge Bases, and model customization to ensure safe and scalable AI deployments.

Essential

Skills:

• Overall IT
  
  Experience:
  
  9-12+ Years
• Proven experience developing autonomous AI agents using Lang Chain, Semantic Kernel, or similar frameworks
• Expertise in prompt engineering, including design, chaining, and iterative refinement for large language models (LLMs)
• Hands-on experience with Amazon Bedrock (model integration, guardrails, knowledge bases)
• Proficiency in Python, API integration, and vector databases such as FAISS or Pinecone
• Strong understanding of LLM behavior, Retrieval-Augmented Generation (RAG) architecture, and AWS deployment best practices

Desirable

Skills:

• Advanced knowledge of AI agent orchestration frameworks
• Experience fine-tuning or customizing foundational models
• Familiarity with prompt evaluation tools and automated testing for LLMs