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.

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
• HASHTAGS:#AWSBedrock #GenAI #AIJobs #CloudDeveloper #AWSJobs #BedrockDeveloper #MachineLearningEngineer #PromptEngineering #LLM #PythonJobs #AmazonBedrock #HiringNow #AIinProduction #ServerlessAI #AWSML #TechJobs #JoinOurTeam

REQUIRED SKILLS

Cloud Developer Office 365 Developer SQL Application Develope

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.