_hackajob is collaborating with MANTECH to connect them with exceptional professionals for this role.

MANTECH seeks a motivated, career, and customer-oriented AI Engineer for a new initiative. This effort supports the rapid design, deployment, operation, and sustainment of enterprise-scale AI, data, and mission platform capabilities across a cloud, edge, and classified operational environment.

The AI Engineer supports the development and operationalization of advanced AI and agentic AI systems in production mission environments. You will accelerate operational AI adoption through a modern Hub-and-Spoke architecture, supporting mission applications and enterprise AI governance.

Responsibilities Include But Are Not Limited To

Design, develop, and operationalize full-lifecycle AI/ML operations (MLOps/LLMOps).
Implement and deploy Retrieval-Augmented Generation (RAG) architectures in production.
Build and maintain scalable AI orchestration frameworks and production-ready AI systems.
Manage and optimize Kubernetes-based AI deployments, focusing on GPU inference optimization.
Conduct core Python development for AI systems and integrate OpenAI-compatible APIs into mission solutions.
Operationalize AI agents using advanced frameworks like LangGraph or Semantic Kernel.

Minimum Qualifications

Must possess 7 or more years of experience in AI/ML production engineering, development, or related roles. Relevant additional experience will be considered in lieu of degree.
Proven proficiency in Python development and experience with AI/ML libraries like TensorFlow or PyTorch.
In-depth knowledge of MLOps/LLMOps principles and full machine learning lifecycle management.
Experience with Kubernetes-based AI deployments and GPU optimization techniques.
Proven experience designing, building, securing or monitoring scalable solutions within the Microsoft Azure ecosystem (e.g., Azure OpenAI, Azure Synapse, Databricks, or Azure Security Center).

Preferred Qualifications

Bachelor’s degree in Computer Science, Engineering or a related field.
Experience with LangGraph, Semantic Kernel, and agentic AI systems.
Familiarity with Ray, NVIDIA GPU ecosystems, or Vector databases.
Advanced degree (Master's or PhD) in a technical field.

Clearance Requirements

TS/SCI with the ability to obtain and maintain a polygraph

Physical Requirements

The person in this position must be able to remain in a stationary position 50% of the time.
Frequently communicates with co-workers, management, and customers, which may involve delivering presentations.
Constantly operates a computer and other office productivity machinery.