AI/ML Engineer - LLMs, RAG & Secure Gov Cloud
YO IT ConsultingRole Overview
YO IT Consulting is hiring a mid-level AI/ML Engineer - LLMs, RAG & Secure Gov Cloud. This is a contract role in Boston, Massachusetts. Part of YO IT Consulting's Data Science hiring. Full responsibilities, required qualifications, and the apply link are listed in the description below.
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Job Description
A leading AI consulting firm in Boston is seeking an AI / ML Engineer to drive government initiatives and enhance proprietary AI infrastructure. You will design and optimize AI / ML models, manage multi-agent systems, and integrate solutions on secure cloud platforms. Ideal candidates have proficiency in Python, experience with LLMs, and understanding of cloud AI services. Strong communication skills are essential for collaboration. This role is integral to delivering secure, scalable machine learning systems in a dynamic environment.
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Frequently Asked Questions
How do I apply for the AI/ML Engineer - LLMs, RAG & Secure Gov Cloud position at YO IT Consulting?
Use the Apply button above to submit your application directly to YO IT Consulting. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Where is the AI/ML Engineer - LLMs, RAG & Secure Gov Cloud position at YO IT Consulting located?
This position is based in Boston, Massachusetts. YO IT Consulting has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.
What does a AI/ML Engineer - LLMs, RAG & Secure Gov Cloud at YO IT Consulting earn?
YO IT Consulting has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.
When was the AI/ML Engineer - LLMs, RAG & Secure Gov Cloud role at YO IT Consulting posted?
This role was posted on April 6, 2026 (63 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
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