Agentic AI Engineer with (Agentic Workflows / GenAI + AWS Cloud + Python + JavaScript)

Job Title: Agentic AI Engineer with (Agentic Workflows/ GenAI + AWS Cloud + Python + JavaScript ) Location: Detroit, MI 48226 or Charlotte, NC 28202 Work Arrangement: Hybrid (3 days onsite / 2 days remote) Employment Type: Contract Duration: 41+ months Pay Range: $40.46/hr. To $43.08/hr. On W2 | $50.00/hr. to $56.00/hr. on C2C Domain: Financial Services | Digital Banking Technology Application Deadline: July 15, 2026 SKILLS REQUIRED Primary (Must-Have): • 8+ years of software engineering experience with a strong backend foundation in Python (for automation and microservices) • Hands-on, production-grade experience building AI agents and workflows using LangChain and/or LangGraph • Full-stack capability with strong JavaScript experience (React.js and Node.js) • Production experience with containerization (Docker) and deploying container-based applications • Foundational to advanced AWS Cloud knowledge (hands-on with IAM, S3, Lambda, ECS/Fargate, CloudWatch) • Strong mastery of REST APIs, JSON parsing, and version control (Git) • Deep familiarity with reasoning engines and frontier LLMs (GPT-4o, Claude 3.5, Llama 3.x/4) specifically for complex tool-calling and structured JSON-mode outputs Secondary (Good to Have): • Experience with Azure OpenAI service integration and enterprise cloud architectures • Understanding of financial technology standards, data security, and enterprise regulatory compliance • Prior experience setting up robust logging frameworks and basic monitoring for active AI agent swarms POSITION OVERVIEW We are seeking a visionary Senior Agentic AI Engineer with 8+ years of experience to lead the development of next-generation intelligent automation workflows. Based out of our major hubs in Detroit, MI or Charlotte, NC on a hybrid schedule, this long-term contract role focuses on designing, building, and maintaining cloud-native automation engines. You will be responsible for executing advanced Agentic RAG architectures, multi-agent orchestrations, and secure enterprise system integrations. Acting as a core innovator, you will build the intelligent middleware bridging advanced large language models with production banking systems. ROLES & RESPONSIBILITIES • Design, develop, and support scalable cloud-native automation systems and autonomous AI agent workflows using Python, LangChain, and LangGraph. • Architect and execute "Agentic RAG 2.0" structures, enabling iterative retrieval systems where agents autonomously assess data density and execute additional queries dynamically. • Program robust backend connections and frontend components utilizing Python, Node.js, and React.js to interface smoothly with internal enterprise frameworks. • Deploy and operate secure agent services across AWS infrastructures, including AWS Lambda, S3, ECS/Fargate, and IAM, ensuring adherence to cloud governance. • Containerize microservices via Docker and integrate them into automated CI/CD deployment pipelines. • Fine-tune model performance across frontier models (GPT-4o, Claude 3.5, Llama) with a hyper-focus on reliable tool-calling and deterministic JSON-mode outputs. • Implement foundational monitoring, distributed logging, and resilient error-handling structures to track agent execution and prevent infinite loops. • Collaborate cleanly with onshore solution architects to translate defined architecture standards into functional, high-performing code. BENEFITS Medical | Dental | Vision | 401(k) EEOC Compliance: We are an equal opportunity employer, and all qualified applicants will receive consideration for employment. DISCLAIMER AI Usage Policy: Pacer Group uses AI to assist in screening applications. Final hiring decisions are made by human recruiters based on qualifications and experience.