GDIT
AgenticAIEngineer
“Agentic AI Engineer at GDIT. Skills: Agentic AI, Machine Learning, AI models. Design, develop and deploy AI models, algorithms and. Architect and implement production-grade multi-agent AI solutions”
Industry & Context.
US Persons required
What They're Looking For.
Must Have
Bachelor's Degree in Computer Science, Computer Engineering, Data Science or a related field, 5 + years of experience in AI and machine learning, 1 + years of experience developing products or functional prototypes using RAG and agentic AI technologies, Designed and/or implemented hands-on an agentic workflow solution, Proficiency in programming languages such as Python, R, or Java, Deep understanding of machine learning frameworks like TensorFlow or PyTorch, Hands-on experience with MCP, LangGraph, LlamaIndex, or similar agentic frameworks, Deep understanding of prompt or context engineering, tool definition, and state management for agents, Background in working with large datasets and performing data preprocessing, feature engineering, and model evaluation
Nice to Have
Masters degree, Advanced coursework or a Certification in AI, Machine Learning or related areas
What You'll Do.
develop and deploy AI models
Architect and implement production-grade multi-agent AI solutions
Build and maintain end-to-end agentic AI pipelines
and deploy internal AI applications
Provide unified observability with logging
Analyze agent runtime behavior to tune latency
Integrate agentic AI services with existing enterprise systems
Uphold AIOps practices for consistent deployment and scaling
Stay updated on emerging AI related technologies
Recommend improvements to existing AI systems
How You'll Work.
Team & Collaboration
Cross-functional teams; Data scientists; Software engineers; Product owners; Service owners
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