Generative AI Engineer

Role: Generative AI Engineer

Location: Malvern, PA and Charlotte, NC

Type : Contract/C2C

Job Summary

We are looking for an experienced Generative AI Engineer / AI Agent Builder with strong hands-on experience in AWS Bedrock, LangChain, LangGraph, Claude/Claude Code, and AI Agent development. The ideal candidate will design, build, and deploy production-ready AI agents and LLM-powered applications using modern GenAI frameworks and AWS services.

Key Responsibilities

• Design and develop AI agents, multi-agent systems, and LLM-powered applications using AWS Bedrock.
• Build agentic workflows using LangGraph and LangChain.
• Develop and integrate Claude-based applications, including hands-on experience with Claude Code.
• Create autonomous agents capable of tool use, reasoning, planning, orchestration, and workflow execution.
• Integrate LLMs with enterprise APIs, databases, applications, and external tools.
• Implement RAG (Retrieval-Augmented Generation) pipelines using embeddings, vector databases, document retrieval, and knowledge bases.
• Work with AWS Bedrock foundation models, particularly Claude and other supported LLMs.
• Develop prompt templates, structured outputs, function/tool calling, and context-management strategies.
• Build scalable and secure GenAI solutions using AWS cloud services.
• Implement agent memory, state management, workflow persistence, and human-in-the-loop capabilities.
• Develop APIs and microservices to expose AI/agent capabilities to enterprise applications.
• Perform testing, evaluation, monitoring, and optimization of LLM applications for accuracy, latency, reliability, and cost.
• Follow responsible AI, security, privacy, and governance best practices.

Required Skills

• Strong hands-on experience with AWS Bedrock.
• Strong experience with LangChain and LangGraph.
• Hands-on experience building AI Agents / Agentic AI applications.
• Experience with Claude / Anthropic models and Claude Code.
• Strong Python programming skills.
• Experience with RAG, embeddings, vector databases, and semantic search.
• Experience with LLM tool/function calling and agent orchestration.
• Knowledge of REST APIs, microservices, and cloud-native application development.
• Experience with AWS services such as Lambda, API Gateway, S3, ECS/EKS, DynamoDB, OpenSearch, and IAM.
• Experience with prompt engineering, LLM evaluation, and GenAI application optimization.

Preferred Skills

• Experience with Amazon Bedrock Agents / AgentCore and enterprise agent architectures.
• Experience with multi-agent orchestration.
• Knowledge of MCP (Model Context Protocol).
• Experience with vector databases such as OpenSearch, Pinecone, Weaviate, or Chroma.
• Experience with CI/CD, Docker, Kubernetes, and AWS DevOps.
• Familiarity with AI security, guardrails, observability, and responsible AI.
• Experience integrating GenAI solutions with enterprise systems.

Education & Experience

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 5+ years of software engineering experience, with 2+ years of hands-on GenAI/LLM experience.
• Proven experience delivering production-grade AI agents or LLM applications.