Manage teams designing AI workflows at Magical, improving processes and customer solutions through innovative technology. Collaborate closely with engineering for high - stakes integrations and feedback - based enhancements.
About the role
- Agentic AI Engineer at GDIT designing, developing, and deploying AI models to enhance productivity and decision-making. Collaborating across teams and focusing on impactful AI solutions.
Responsibilities
- Design, develop and deploy AI models, algorithms and systems to enhance productivity
- Architect and implement production-grade multi-agent AI solutions
- Build and maintain end-to-end agentic AI pipelines
- Develop, test, and deploy internal AI applications
- Provide unified observability with logging, metrics, and alerts
- Integrate agentic AI services with existing enterprise systems
- Collaborate with cross-functional teams to align AI projects with business goals
Requirements
- 5+ years of experience in AI and machine learning
- 1+ years of experience developing products or functional prototypes using RAG and agentic AI technologies
- Proven track record of delivering end-to-end AI projects
- Proficiency in programming languages such as Python, R, or Java
- Strong 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
- Experience with cloud computing platforms, such as Azure, OCI, AWS, or Google Cloud
- Strong background in working with large datasets
Benefits
- Comprehensive benefits and wellness packages
- 401K with company match
- Competitive pay
- Paid time off
- Flexible work week
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