Software Engineer

Job Description

Develop, deploy, and support full-stack AI/ML solutions with an emphasis on agentic AI applications and enterprise-scale data platforms. Collaborate across technical teams to design, implement, and optimize scalable artificial intelligence capabilities using modern machine learning technologies and cloud environments. Analyze project requirements to select appropriate AI models and deliver high-performing software solutions.

• Job Details
• Manufacturing
• 5/40 - 1st Shift
• Must be a U.S. Citizen

• Education & Job Requirements
• 4-year degree in Computer Science, Data Science, Systems Engineering, or a related field, or equivalent experience
• 3+ years of hands-on experience developing AI/ML applications
• Demonstrated experience building agentic AI applications using agentic frameworks
• Strong proficiency with Python and prompt engineering for large language models
• Capability to differentiate between data models, including Meta and OpenAI, based on project requirements
• Hands-on experience with Natural Language Processing and deploying scalable AI models
• Working knowledge of SAP HANA, DB2, SQL Server, and advanced SQL expertise
• Experience building agentic AI or AI assistant-style products
• Prior experience with Lockheed Martin data platforms, including EDE, LDW, and EDW, or comparable enterprise-scale environments
• Able to read, write, speak, and understand the English language
• Ability to read, interpret, and apply technical drawings, blueprints, schematics, or maintenance manuals

• Preferred Skills
• Experience with Node.js
• Background in predictive modeling
• Knowledge of Model Context Protocol (MCP)
• Demonstrated ability to thrive in a fast-paced, collaborative environment
• Relevant cloud AI or machine learning certifications, including Azure AI Engineer or AWS Machine Learning

• Job Duties & Functions
• Develop full-stack AI/ML applications using agentic frameworks.
• Design scalable artificial intelligence and machine learning solutions for enterprise environments.
• Implement prompt engineering techniques for large language models.
• Deploy Natural Language Processing models into production environments.
• Analyze project requirements to determine the appropriate AI model for each application.
• Integrate enterprise data platforms with AI-driven software solutions.
• Collaborate with cross-functional teams to deliver agentic AI and AI assistant-style products.
• Optimize SQL queries and database interactions across SAP HANA, DB2, and SQL Server platforms.
• Support cloud-based artificial intelligence and machine learning deployments.
• Apply software engineering best practices throughout the development lifecycle.

• TeamGlobal Benefits
• Medical, Dental, Vision, 401(k), and more!
• TG Rewards Program
• Employee Referral Program