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Remote Python Llm Jobs in Pittsburgh, PA (NOW HIRING)

Quora

AI Automation Engineer -Remote

Pittsburgh, PA · On-site +1

$202.38K - $234.20K/yr

Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ... Python, React and JavaScript * Excellent debugging skills and the ability to manage multiple ...

Epistemix

AI Engineer

Pittsburgh, PA · Remote

Python - Advanced proficiency in writing clean, efficient, and scalable code. * Pydantic - Strong ... LLM Evaluation - Ability to assess model performance, optimize outputs, and fine-tune AI behavior.

Legrand AV, Inc.

Lead AI Engineer

Canonsburg, PA · Remote

$94.20K - $124.10K/yr

This is a remote position. This is a senior, hands-on leadership role at the intersection of ... Build, review, and maintain Python-based services (FastAPI), automation workflows, and integration ...

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How much do remote python llm jobs pay per hour?

As of May 29, 2026, the average hourly pay for remote python llm in Pittsburgh, PA is $56.91, according to ZipRecruiter salary data. Most workers in this role earn between $46.92 and $64.66 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Python LLM Engineer, and why are they important?

To thrive as a Remote Python LLM Engineer, you need strong proficiency in Python programming, experience with large language models (LLMs), and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), cloud platforms, and version control systems like Git is typically required. Excellent problem-solving abilities, self-motivation, and effective communication are crucial soft skills for remote collaboration and troubleshooting. These skills ensure you can develop, deploy, and maintain advanced language models efficiently while working independently in distributed teams.

What are some common collaboration methods used by Remote Python LLM engineers when working with cross-functional teams?

Remote Python LLM engineers frequently collaborate with data scientists, product managers, and other developers through virtual meetings, code reviews, and shared documentation platforms. Tools like Slack, GitHub, and Jira are often used to ensure smooth communication and project tracking, despite working across different time zones. Regular stand-ups and sprint planning sessions help align objectives and keep everyone updated on progress. Proactive communication and clear documentation are key to overcoming the challenges of remote, distributed teamwork in this role.

What is a Remote Python LLM job?

A Remote Python LLM job typically involves working with large language models (LLMs) like GPT or similar AI technologies using the Python programming language, while operating remotely. Professionals in this role develop, fine-tune, and deploy machine learning models, especially those focused on natural language processing (NLP) tasks. Responsibilities may include building Python applications that integrate with LLMs, data preprocessing, and collaborating with teams across different locations. The remote aspect allows for flexible work arrangements and access to global opportunities.
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What cities near Pittsburgh, PA are hiring for Remote Python Llm jobs? Cities near Pittsburgh, PA with the most Remote Python Llm job openings:
Remote Python Llm jobs near you

Senior AI / ML Engineer - Enterprise Data & GenAI Solutions - AIRLHV

NavitasPartners

Pittsburgh, PA • On-site, Remote

$101.40K - $139.30K/yr

Other

Posted 2 days ago

Job description

 Senior AI / ML Engineer - Enterprise Data & GenAI Solutions 

Location: US / Canada (Remote/Hybrid) 
Type: Contract / Full-Time 

Overview: 

We are hiring a Senior AI/ML Engineer to lead development of enterprise-grade AI and GenAI solutions. This role bridges data engineering, ML engineering, and cloud architecture to deliver scalable AI systems. 

Key Responsibilities: 

  • Build and scale ML pipelines and GenAI applications  
  • Integrate AI solutions with enterprise data platforms  
  • Implement MLOps frameworks for automation and governance  
  • Optimize models and pipelines for performance and cost efficiency  

Required Skills: 

  • Strong experience in ML engineering, MLOps, and AI system design  
  • Expertise in Python, PyTorch, and related ML frameworks  
  • Experience with cloud platforms (AWS, Azure, GCP)  
  • Strong understanding of data pipelines and integration  

Nice to Have / Coverage: 

  • Experience with data platforms such as Databricks, Snowflake, Azure Synapse, BigQuery  
  • Exposure to GenAI tools (LangChain, LLM orchestration frameworks)  
  • Knowledge of Responsible AI, governance, and compliance  
  • Experience in enterprise-scale AI deployments  

For more details reach at resumes@navitassols.com.

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