AI Software Engineer

At NetSage, we are more than a government contractor—we are a mission-focused partner dedicated to advancing national security through exceptional cyber expertise. We believe our success begins with our people, which is why we invest in and care for our employees. We know that employee retention is mission continuity, and we are committed to building long-term careers where our people can grow alongside our customers' evolving missions. Our employees enjoy meaningful work, competitive compensation, outstanding benefits, and opportunities to expand their skills across multiple mission areas. To learn more about our comprehensive benefits and what it's like to build your career at NetSage, visit our Careers page.

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Job Description:

We are seeking a Senior Artificial Intelligence (AI) Engineer with a proven track record in software engineering and a deep understanding of Artificial Intelligence/ Machine Learning (AI/ML) techniques to support an exciting new AI and Emerging Technologies (AI&ET) mission. In this role, you will work closely with mission stakeholders to capture requirements, aid in structured planning, and improve processes by introducing AI/ML tooling. Additionally, you will use AI/ML to develop tools and techniques to include fine tuning Large Language Models (LLM) that assist in enhanced identification and mitigation capabilities. The ideal candidate for this position will have demonstrable experience designing, developing, and maintaining LLM orchestration frameworks; experience developing and optimizing data for LLM consumption; and have strong proficiency working in Python. Please consider applying if you meet the following qualifications. 

Required Qualifications:

• TS/SCI with polygraph security clearance.
• A Bachelor of Science (B.S.) degree in Computer Science or a related field and eight (8) years of relevant experience. Also acceptable are a Doctoral degree (PH.D.) and four (4) years, a Master of Science (M.S.) degree and six (6) years, or an Associate of Science (A.S.) degree and ten (10) years of relevant experience. 
• Strong proficiency with object-oriented languages like Python.
• Experience with LLM integration and data engineering. 
• Experience with static analyzers, Retrieval-Augmented Generation (RAG) framework, and relational and vector databases.