Senior Agentic AI Engineer for Enterprise Workflows

Staffing Spot, Inc.; Town of Texas (WI); On-site; USD 150,000 - 210,000; Full time

Job summary

Staffing Spot, Inc. is seeking an experienced AI Machine Learning Engineer to design, develop, and deploy enterprise-grade Agentic AI solutions.

The role requires hands-on work building AI agents, workflow automation, and production-ready Generative AI applications. You will collaborate with Operations, Product, Business Analysts, and Software Engineering to translate business requirements into scalable AI systems, APIs, and cloud-native applications on Azure, AWS, or GCP.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, AI, ML, Software Engineering, or related field
• 10+ years of experience in AI/ML or Software Engineering
• Minimum 5+ years building and deploying Agentic AI applications in enterprise environments
• Proven experience designing AI agents and contributing to agent architecture
• Strong experience in workflow automation and operations-focused AI solutions
• Strong programming skills in Python and SQL
• Hands-on experience with Agentic AI, LLMs, RAG, Prompt Engineering, Multi-Agent Systems
• Experience with LangChain, LangGraph, LlamaIndex, Semantic Kernel, OpenAI, Azure OpenAI
• Experience with vector databases Pinecone, FAISS, ChromaDB
• Experience developing REST APIs and cloud-native AI on Azure/AWS/GCP
• Familiarity with Docker, Kubernetes, Git, and CI/CD pipelines
• Excellent analytical, communication, and problem-solving skills

Responsibilities

• Design, develop, and deploy enterprise-scale Agentic AI solutions
• Build intelligent AI agents and contribute to architecture and orchestration frameworks
• Develop AI-powered workflow automation solutions for business operations
• Design and implement Retrieval-Augmented Generation (RAG) architectures
• Build and optimize LLM applications using prompt engineering and multi-agent systems
• Translate business requirements into scalable AI solutions and production-ready applications
• Collaborate with Operations, Product, Business Analysts, and Software Engineering
• Develop and maintain REST APIs and cloud-native AI applications
• Integrate AI apps with enterprise systems and workflows
• Optimize AI models for performance, scalability, reliability, and security
• Follow CI/CD, version control, testing, and containerization best practices

Skills

Python programming

SQL

Communication

Leadership

Education

Bachelor’s or Master’s in CS/AI/Eng

Tools

LangChain

LangGraph

LlamaIndex

Semantic Kernel

OpenAI

Azure OpenAI

Pinecone

FAISS

ChromaDB

Docker

Kubernetes

Git

CI/CD

Job description

Staffing Spot, Inc. is seeking an experienced AI Machine Learning Engineer to design, develop, and deploy enterprise-grade Agentic AI solutions.

The role requires hands-on work building AI agents, workflow automation, and production-ready Generative AI applications. You will collaborate with Operations, Product, Business Analysts, and Software Engineering to translate business requirements into scalable AI systems, APIs, and cloud-native applications on Azure, AWS, or GCP.