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.