Agentic AI Engineer for Multi-Agent Production AI

Insight Global

Maryland

Sur place

USD 140 000 - 190 000

Plein temps

Il y a 2 jours

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Résumé du poste

Insight Global is seeking an Agentic AI Engineer to join a growing multi-agent AI team responsible for building and deploying autonomous AI agents in production environments. You will design agent architectures, workflows, decision-making systems, and tool integrations to enable autonomous capabilities.

The role requires strong software engineering fundamentals, Python expertise, and experience with AI-enabled products.

Qualifications

Active TS/SCI with ability to obtain CI Poly.
5+ years of software engineering experience.
Strong Python development experience.
Experience building AI agents, agentic workflows, or multi-step LLM systems.
Experience integrating APIs, tools, and external services.
Experience with agent memory systems, vector databases, or retrieval systems.
Understanding of distributed systems and software architecture.
Experience with CI/CD pipelines and containerized environments.
Bachelor's Degree in Computer Science, Engineering, Data Science, or related field.

Responsabilités

Identify mission challenges and translate them into AI/ML solutions and measurable objectives.
Gather, analyze, and prepare structured and unstructured datasets for model development.
Design feature engineering approaches and data preparation strategies to improve model performance.
Develop, train, test, and optimize machine learning and generative AI models.
Build and evaluate AI solutions using modern modeling, prompting, and fine-tuning techniques.
Establish validation frameworks and performance metrics to measure model effectiveness and reliability.
Collaborate with software, data, and platform engineering teams to deploy solutions into operational environments.
Monitor models in production, identify performance issues, and implement improvements as needed.
Document methodologies, findings, and technical approaches to support transparency and repeatability.
Participate in customer engagements, testing activities, troubleshooting efforts, and continuous model enhancement initiatives.
Ensure AI solutions align with security, compliance, and mission requirements throughout development and deployment.