A 4-year degree in Computer Science, Data Science, Systems Engineering, or related field or equivalent experience.
Experience with agentic frameworks and building agentic AI applications.
Strong proficiency in Python and prompt engineering for LLMs.
Experience with natural language processing and deploying scalable AI models.
Requirements:
Design, develop, and deploy agentic AI applications and AI assistant-style products.
Build end-to-end AI-enabled full-stack solutions, integrating backend AI services with frontend interfaces.
Evaluate data models and select appropriate architectures (e.g., Meta vs. OpenAI) based on project requirements.
Deploy scalable AI/ML models in enterprise-scale environments and collaborate with data platforms and cloud services.
Job description
REQUIRED SKILLS:
• 4-year degree in Computer Science, Data Science, Systems Engineering, or a related field or equivalent experience.
• Experience with Agentic frameworks and building agentic AI applications.
• Strong proficiency in Python and prompt engineering for LLMs.
• Ability to differentiate between data models (e.g., Meta vs. OpenAI) based on project requirements.
• Hands on experience with Natural Language Processing and deploying scalable AI models.
• Deep knowledge technologies (SAP HANA, DB2, SQL Server) and solid SQL expertise.
• Experience building agentic AI or AI assistant style products.
• Prior work with Lockheed Martin data platforms (EDE, LDW, EDW) or comparable enterprise scale environments.
• Relevant cloud AI or machine learning certifications (e.g., Azure AI Engineer, AWS ML)
Desired Skills
• Nodejs
• Predictive Modeling
• Knowledge/Experience with Model Context Protocol (MCP)
• Demonstrated ability to thrive in a fast paced, collaborative environment.
