AI/ML Platform Engineer
Role details
Job location
Tech stack
Requirements
Artificial Intelligence (AI),Large Language Models (LLMs),PostgreSQL,Python (Programming Language),RAG Pipeline, 8 + years of related experience, Bring your expertise and drive for innovation to GDIT. The AI/ML Engineer Principal must have:
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Education: Bachelor of Arts/Bachelor of Science
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Experience: 8+ years of related experience
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Technical skills:
-5+ years of experience developing in Python or other programming language
-Demonstrated hands-on experience deploying LLMs for inference outside of cloud APIs
-Understanding of model formats
-Familiarity with OpenAI-compatible API surfaces
-Practical RAG pipeline experience
-Vector storage
-Inference parameter tuning
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Security clearance level: Active Secret level clearance or higher
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US citizenship required
Benefits & conditions
The likely salary range for this position is $152,150 - $205,850. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.
Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.