Senior AI Developer

MANTECH

21h•$117,000 - $195,100•Remote

About The Position

MANTECH International Corporation is seeking a motivated, career and customer-oriented AI Developer to join their team. This role requires hands-on technical expertise, collaboration across teams, and a commitment to delivering high-quality solutions. The position is remote with the possibility of occasional client site travel. MANTECH has been a leader in delivering advanced solutions to government intelligence, the Department of Defense, and Federal Civilian sectors since 1968, focusing on innovation in Digital Transformation, Cybersecurity, IT, Data Analytics, and Software Development.

Requirements

Bachelor’s Degree
5+ years’ experience with Python and common ML libraries (e.g., PyTorch, TensorFlow, scikit-learn)
2+ years’ experience installing, configuring, and using AI/ML tools, such as Flowise, NiFi, and large language models
2+ years’ experience performing data engineering tasks, such as extract/transform/load (ETL), data cleansing, and data wrangling
Experience performing EDA and interpreting results to share with stakeholders to solicit feedback
Experience building, training, testing, and deploying ML models
Experience integrating chatbots with enterprise systems
Experience with advanced prompting techniques (e.g., Chain-of-Thought, Few-Shot, ReAct) and systematic evaluation frameworks to minimize hallucinations and improve output reliability
Experience evaluating responses from the LLMs
Experience in developing and integrating Large Language Model (LLM) solutions with front-end applications
Experience working with popular cloud platforms (Azure, Web Services, Google Cloud, Oracle Cloud)
Experience providing services to public sector clients
US citizenship with a Secret level clearance.

Responsibilities

Interview customers to understand and document their current state data analytical needs and how AI solutions can solve those needs
Elicit requirements and develop technical designs and specifications for new AI solutions
Install, configure, test, administer, and document the use of AI/ML tools in use within the AI environment
Design and train machine learning models using frameworks like TensorFlow and Scikit- Learn for predictive analytics and automation
Utilize modern AI frameworks to design AI applications that use Language Models (LLMs) and adapt LLMs with prompt engineering and fine tuning. Responsible for the full lifecycle—from addressing complex data analytical needs to shipping production-ready applications
Optimize models for scalability, latency, and accuracy in production environments