К содержимому

AI Engineer

100 000 — 152 000 $T-Rex Solutions, LLCУдалённо · United States

Коротко о вакансии

Компания T-Rex Solutions ищет инженера по искусственному интеллекту для участия в масштабной программе модернизации налоговых систем IRS. Специалист займется проектированием, созданием и внедрением генеративных приложений, моделей с RLHF и защитных механизмов. Предстоит настраивать архитектуру RAG, оптимизировать промпты, а также интегрировать современные языковые модели с облачными сервисами. Для работы критически важно соблюдение строгих инженерных практик, включая CI/CD для ML и контейнеризацию.

Формат работы
удалёнка
География
США
Зарплата
100 000 — 152 000 $ — по данным Himalayas
Ключевые требования
  • Гражданство США
  • Действующий допуск IRS MBI Clearance и оборудование GFE
  • Степень бакалавра и от 7 лет опыта
  • Разработка AI-приложений на Python
  • Опыт работы с Azure OpenAI и сервисами AWS
Кому подойдёт
Вакансия подойдет опытным специалистам по машинному обучению и LLM с допуском к гостайне США и глубокими знаниями RAG.

Пересказ openqareer по тексту работодателя. Ниже — оригинал объявления.

T-Rex Solutions is looking to select an AI Engineer to support our Internal Revenue Service (IRS) EDOS program. The overall mission of this program is to modernize the IRS legacy Tax processing systems and is critical to the overall modernization of the IRS to improve taxpayer experience, increase voluntary compliance, and reduce the IRS’s reliance on costly and unsustainable legacy technology. This role will play a pivotal role in designing, developing, and implementing robust solutions for a variety of programs and applications.

The AI Engineer partners with client teams to architect, develop, and operationalize responsible AI systems—including RLHF instruction models, generative applications, and comprehensive guardrails—to align with ethical, performance, and business objectives. They drive the adoption of AI development standards and conduct rigorous evaluations of LLMs against industry benchmarks and custom metrics. This role involves selecting, building, and fine-tuning machine learning models using Python, Java, and open-source frameworks, applying advanced NLP and ML techniques to address complex language challenges.

Embedding robust software engineering practices, the AI Engineer implements reproducible experiment tracking, version control workflows (Git), unit and integration testing, and CI/CD pipelines tailored for ML deployments. They leverage containerization (Docker/Kubernetes) and infrastructure-as-code to ensure scalable, maintainable systems, participate in peer code reviews, and document solutions for cross-team knowledge sharing. Collaborating with leadership and stakeholders, they identify AI opportunities, shape strategic roadmaps, and translate technical findings into clear, actionable insights for diverse audiences.

Responsibilities:

  • Lead and implement the development and optimization of prompt engineering strategies
  • Design and implement Retrieval-Augmented Generation (RAG) frameworks
  • Develop AI applications using Python and cloud services
  • Manage AI project delivery and support technical implementation
  • Collaborate with cross-functional teams to integrate AI solutions

Requirements:

  • Bachelor's Degree and 7+ years of experience
  • US Citizenship required
  • Must possess an active IRS MBI Clearance and have current GFE
  • Hands on experience with Azure OpenAI and AWS cloud services
  • Proficient in Python AI application development
  • Deep understanding of RAG frameworks and prompt engineering techniques
  • Strong project management and delivery leadership skills
  • Experience supporting complex AI/ML initiatives
  • Demonstrated ability to translate technical concepts for diverse stakeholders
  • Experience with the following:
  • Machine learning model optimization
  • Advanced prompt engineering techniques
  • Cloud infrastructure management
  • Agile project delivery methodologies.
  • Excellent oral and written communication skills with client stakeholders at all organizational and technical levels

Desired Skills:

  • Prompt Engineering
  • Artificial Intelligence (AI)
  • Large Language Models (LLMs)
  • AWS GovCloud
  • Python

T-Rex Overview

Established in 1999, T-Rex Solutions, LLC is a proven mid-tier business providing data-centric mission services to the Federal government as it increasingly tries to secure and leverage the power of data. We design, integrate, secure, and deploy advanced technical solutions for our customers so they can efficiently fulfill their critical objectives. T-Rex offers both IT and professional services to numerous Federal agencies and is a leader in providing high quality and innovative solutions in the areas of Cloud and Infrastructure Services, Cyber Security, and Big Data Engineering.

T-Rex is constantly seeking qualified people to join our growing team. We have built a broad client base through our devotion to delivering quality products and customer service, and to do that we need quality individuals. But more than that, we at T-Rex are committed to creating a culture that supports the development of every employee's personal and professional lives. T-Rex has made a commitment to maintain the status of an industry leader in compensation packages and benefits which includes competitive salaries, performance bonuses, training and educational reimbursement, Transamerica 401(k) and Cigna healthcare benefits.

In compliance with pay transparency guidelines, the annual base salary range for this position is $100,000 - $152,000. Please note that the salary information is a general guideline only. T-Rex considers factors such as (but not limited to) scope and responsibilities of the position, candidate’s work experience, education/training, key skills, internal peer equity, as well as market and business considerations when extending an offer.

T-Rex offers a diverse and collaborative work environment, exciting opportunities for professional growth, and generous benefits, including: PTO available to use immediately upon joining (prorated based on start date), paid parental leave, individual and family health, vision, and dental benefits, annual budget for training, professional development and tuition reimbursement, and a 401(k) plan with company match fully vested after 60 days of employment among other benefits.

Originally posted on Himalayas

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