Senior AI/ML Engineer — GenAI, LLMs, Enterprise Scale

Mesavita Engineering, LLC

Maryland

On-site

USD 140,000 - 210,000

Full time

14 days+
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Benefits offered by this job

401(k) 12%
Free medical benefits
Vision insurance
Dental insurance
STD/LTD/Life coverage
Education budget $5,000
Referral bonus program

Job summary

Mesavita Engineering, LLC is seeking an experienced AI/ML engineer to design and deploy production-grade models and services for enterprise-scale use. You will work on implementing Generative AI capabilities, including LLMs, finetuning, and RAG, to deliver robust, scalable solutions.

Ideal candidates will have deep Python expertise, experience with PyTorch and TensorFlow, and familiarity with AWS or Azure cloud platforms.

Qualifications

  • Must have a TS/SCI w/poly
  • 12 years experience with a Bachelors
  • 10 years experience with a Masters

Responsibilities

  • Design, develop, and integrate enterprise-grade production AI/ML models, services, and applications
  • Transition prototype AI capabilities for enterprise deployment at scale and speed
  • Leverage advanced proficiency in Python and popular AI/Deep Learning frameworks such as PyTorch and TensorFlow
  • Apply expertise in Generative AI, including Large Language Models (LLMs), model customization (e.g., finetuning), Retrieval Augmented Generation (RAG), and agentic orchestration
  • Utilize AI & Machine Learning techniques to solve complex business problems
  • Collaborate effectively with cross-functional teams to deliver robust and innovative AI solutions

Skills

Python
Pandas
NumPy
scikit-learn
Generative AI
LLMs
PyTorch
TensorFlow
AWS
Azure

Education

Bachelor's degree
Master's degree

Job description

Mesavita Engineering, LLC is seeking an experienced AI/ML engineer to design and deploy production-grade models and services for enterprise-scale use. You will work on implementing Generative AI capabilities, including LLMs, finetuning, and RAG, to deliver robust, scalable solutions.

Ideal candidates will have deep Python expertise, experience with PyTorch and TensorFlow, and familiarity with AWS or Azure cloud platforms.

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