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Language Model Engineer Jobs in Pennsylvania (NOW HIRING)

WebMD

AI Systems Engineer

Yardley, PA · On-site

Position Overview The AI & Systems Engineer is a hybrid infrastructure and AI operations role ... Hands-on experience deploying, configuring, and administering large language model (LLM) platforms ...

WebMD

AI Systems Engineer

Yardley, PA · Hybrid

Position Overview The AI & Systems Engineer is a hybrid infrastructure and AI operations role ... Hands-on experience deploying, configuring, and administering large language model (LLM) platforms ...

eTeam

AI Engineers

Pittsburgh, PA · On-site

$94K - $129K/yr

Job Summary : eTeam is seeking a highly skilled AI Engineer with hands-on experience in Generative ... Language Model (LLM)-based solutions using platforms such as Claude and Gemini. • Build ...

Air

Senior Machine Learning Engineer

Pittsburgh, PA · On-site +1

$101K - $139K/yr

... language models and AI systems. As our AI capabilities expand, we need robust infrastructure for ... This is an engineering-heavy ML role. You will build platforms and infrastructure that allow AI ...

Air

Senior Machine Learning Engineer

Pittsburgh, PA · On-site

$101K - $139K/yr

... language models and AI systems. As our AI capabilities expand, we need robust infrastructure for ... This is an engineering-heavy ML role. You will build platforms and infrastructure that allow AI ...

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Showing results 21-40

All JobsLanguage Model Engineer JobsLanguage Model Engineer Jobs in Pennsylvania

Language Model Engineer information

What is a language model engineer?

Language Model Engineers are professionals who design, develop, and optimize machine learning models that process and generate human language. They work with large datasets and advanced algorithms to create models capable of understanding, interpreting, and producing text in natural language. Their role often involves training models, fine-tuning them for specific tasks, evaluating their performance, and deploying them in real-world applications such as chatbots, translation services, and AI assistants. These engineers typically have strong backgrounds in computer science, natural language processing (NLP), and deep learning.

What are the key skills and qualifications needed to thrive as a language model engineer?

To thrive as a Language Model Engineer, you need a solid background in computer science, machine learning, and natural language processing, typically supported by a relevant degree and experience with deep learning frameworks. Familiarity with tools such as TensorFlow, PyTorch, Hugging Face Transformers, and cloud platforms, as well as knowledge of distributed computing systems, is essential. Strong problem-solving skills, collaboration, and effective communication help you work efficiently within multidisciplinary teams and tackle complex technical challenges. These combined abilities are crucial for developing, optimizing, and deploying advanced language models that drive innovation in AI-driven applications.

What are some common challenges faced by language model engineers when deploying large-scale models to production?

Language Model Engineers often encounter challenges related to scalability, latency, and resource optimization when deploying large-scale models. Ensuring models run efficiently in production may require techniques like model quantization, distillation, or partitioning to balance performance and computational cost. Additionally, maintaining model accuracy while addressing issues such as data drift and ensuring privacy compliance are ongoing concerns. Effective collaboration with infrastructure teams and continuous monitoring are crucial for long-term model stability.

What is the difference between Language Model Engineer vs Data Scientist?

AspectLanguage Model EngineerData Scientist
Required CredentialsComputer Science degree, ML certificationsStatistics, Data Analysis degrees
Work EnvironmentAI/ML teams, R&D labsData analysis teams, business units
Industry UsageDeveloping NLP models, AI productsData analysis, predictive modeling
Common Search/ComparisonFocus on language models, NLPFocus on data insights, analytics

While both roles involve working with data and algorithms, Language Model Engineers specialize in developing and optimizing NLP models like chatbots and language understanding systems. Data Scientists analyze data to extract insights and build predictive models. The roles often collaborate but differ in focus: one on model development, the other on data analysis.

What cities in Pennsylvania are hiring for Language Model Engineer jobs?

Cities in Pennsylvania with the most Language Model Engineer job openings:

Infographic showing various Language Model Engineer job openings in Pennsylvania as of August 2026, with employment types broken down into 2% As Needed, 77% Full Time, 18% Part Time, 2% Contract, and 1% Nights. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution.

Ai Engineer-Python, LAG/LLM & Agentic Platform Development

Pittsburgh, PA • On-site

System One
Business Consulting Services • 5 - 10K employees
Learn more about System Oneexternal

Contractor

Re-posted 29 days ago

Job description

Senior Full Stack Engineer – AI/LLM Platform 5 days onsite Pittsburgh, PA / Farmers Branch, TX / Strongsville, OH / Birmingham, AL / Phoenix, AZ Contract to Hire JOB DESCRIPTION The Software Engineer Sr is responsible for designing, developing, and supporting scalable software solutions for Intelligent Automation initiatives leveraging AI technologies. This role focuses on building an Agentic AI Platform for internal enterprise users using Python, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) technologies. The ideal candidate will combine strong full-stack engineering capabilities with modern AI/ML system design experience to deliver intelligent, scalable, and data-aware applications. The role requires close collaboration with product managers, data scientists, business teams, and engineering partners to deliver enterprise-grade AI-powered solutions. Must Have • Ability to design fault-tolerant production systems • Agile development experience • APIs and API platform engineering • Large Language Model (LLM) fundamentals • Strong Python development experience • Retrieval-Augmented Generation (RAG) • Strong experience building production-grade services using Python and/or Java • Experience integrating LLMs or AI services into enterprise applications • Experience designing and operating API-based platforms • Systems design and engineering expertise Nice To Have • Experience with relational databases • Java • Jira • Microsoft Office Key Responsibilities AI Platform Engineering • Design and develop scalable AI-powered applications using Python and modern software engineering practices • Build and support Agentic AI platform capabilities for enterprise internal users • Integrate Large Language Models (LLMs) and AI services into enterprise applications • Develop Retrieval-Augmented Generation (RAG) pipelines and intelligent data-aware systems • Implement scalable API-based services and AI integration platforms • Design resilient and fault-tolerant distributed systems for production environments Software Development & Engineering • Modify existing software to correct errors, improve performance, and upgrade functionality • Design and develop software systems using scientific analysis and engineering best practices • Create scalable backend services and APIs supporting enterprise platforms • Support full software development lifecycle activities including analysis, development, testing, deployment, and support • Troubleshoot system issues and implement production improvements as needed • Develop and execute software testing and validation procedures Systems Design & Architecture • Design secure, scalable, and maintainable enterprise solutions • Build production-grade services capable of supporting enterprise-scale workloads • Define system integrations and API communication patterns • Collaborate with engineering teams to establish technical specifications and performance requirements • Support operational excellence, monitoring, and continuous improvement initiatives Cross-Functional Collaboration • Work closely with product managers, data scientists, designers, QA teams, and business partners • Participate in Agile ceremonies and engineering planning activities • Communicate technical solutions effectively across technical and non-technical teams • Support enterprise initiatives impacting organization-wide AI adoption and automation Preferred / Flex Skills • Java development experience • Experience with relational databases and SQL • Familiarity with Jira and Agile project tracking tools • Exposure to enterprise AI/ML platforms and intelligent automation solutions • Financial Services or Banking industry experience preferred Soft Skills • Strong written and verbal communication skills • Excellent problem-solving and analytical abilities • Ability to work independently and collaboratively within teams • Strong time management and multitasking capabilities • Adaptability in fast-paced enterprise environments Education • Bachelor’s Degree in Computer Science, Engineering, or related field preferred • Equivalent work experience will be considered #M1 #DI-CB2 #L1 - KB1

Ref: #404-IT Pittsburgh

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About System One

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System One helps employers get work done more efficiently and economically without compromising quality. Over our 35+ year history, we've helped connect thousands of talented people with innovative companies. The excitement of a perfect fit motivates us every single day.

Industry

Business consulting services and recruiting and staffing services

Company size

5,001 - 10,000 Employees

Headquarters location

Pittsburgh, PA, US

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