AWS AI Bedrock Developer ___ Charlotte, NC (100% Onsite) ___ Contract
AWS AI Bedrock Developer ___ Charlotte, NC (100% Onsite) ___ Contract
Posted on :
24-07-2025
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1 Vacancy
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Job Description
Role: 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 LangChain 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
- Exposure to real-world AI use cases in enterprise-scale environments
Employment Type
Full-time
Key Skills
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