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Job Description
Job Title:
AI / Machine Learning Engineer (Contract)
Location:
Philadelphia, PA or Charlotte, NC Duration:
6 Months Contract Job Summary We are seeking an experienced AI / Machine Learning Engineer to design, develop, and deploy scalable AI and Large Language Model (LLM) solutions within enterprise AWS environments. The ideal candidate will have hands-on expertise with LangChain and LangGraph, strong Python development skills, and experience building production-grade AI applications that are reliable, secure, and high-performing. Key Responsibilities Design, develop, and deploy AI/LLM-powered applications in AWS production environments. Build, orchestrate, and manage intelligent workflows using LangChain and LangGraph. Integrate AI solutions with enterprise applications, APIs, and data platforms. Optimize model performance, latency, scalability, and reliability for production use cases. Develop and implement prompt engineering strategies and model evaluation frameworks. Collaborate with cross-functional teams to translate business requirements into AI-driven solutions. Ensure adherence to software engineering best practices, including CI/CD, version control, testing, and deployment automation. Monitor, troubleshoot, and enhance AI applications in production environments. Required Qualifications Proven experience deploying and supporting applications in AWS production environments (e.g., Lambda, ECS, EKS, S3). Hands-on experience with LangChain and LangGraph for AI orchestration and workflow development. Strong programming experience in Python. Experience working with Large Language Models (LLMs), prompt engineering, and model evaluation techniques. Solid understanding of software development best practices, including CI/CD pipelines, Git-based version control, automated testing, and deployment processes. Experience integrating AI solutions with enterprise systems and APIs. Preferred Qualifications Experience building and deploying scalable generative AI applications. Familiarity with vector databases, RAG (Retrieval-Augmented Generation), and AI observability tools. Understanding of cloud security, governance, and compliance considerations for AI workloads. Experience working in Agile development environments. Work Arrangement Candidates must be available to work onsite during the first week (Monday Friday). Candidates located in Philadelphia, PA or Charlotte, NC will follow a hybrid schedule, working onsite with the team three days per week after onboarding. Employment Type Contract (6 Months) If you are passionate about building production-ready AI solutions and have strong expertise in AWS, LangChain, and LangGraph, we encourage you to apply.