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

Solution Architect

Lawrenceville, NJ · Remote

$64.50 - $85/hr

Lawrenceville, NJ(Remote) Mandatory Skills: * Cloud expertise (AWS) * Cloud-native architectural ... Champion GenAI/LLM use cases for content authoring, tagging, personalization, MLR support, and ...

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Remote Python Llm information

See Southampton, PA salary details

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How much do remote python llm jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for remote python llm in Southampton, PA is $56.55, according to ZipRecruiter salary data. Most workers in this role earn between $46.59 and $64.23 per hour, depending on experience, location, and employer.

What is a remote Python LLM?

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.

What are the key skills and qualifications needed to thrive as a remote Python LLM engineer?

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 are popular job titles related to Remote Python Llm jobs in Southampton, PA?

For Remote Python Llm jobs in Southampton, PA, the most frequently searched job titles are:

What cities near Southampton, PA are hiring for Remote Python Llm jobs?

Cities near Southampton, PA with the most Remote Python Llm job openings:

AI Engineer (Remote)

M3USA

Fort Washington, PA • Remote

Full-time

Medical, Dental, Life, Retirement, PTO

Posted 6 days ago


Job description

Company Description

M3 USA is at the forefront of healthcare innovation, offering digital solutions across healthcare, life sciences, pharmaceuticals, and more. Since our inception in 2000, we've seen remarkable growth, fueled by our mission to utilize the internet for a healthier world and more efficient healthcare systems.

Our success is anchored in our trusted digital platforms that engage physician communities globally, facilitating impactful medical education, precise job placement, and insightful market research. M3 USA prides itself on a dynamic and innovative work environment where every team member contributes to global health advancements.

Joining M3 USA means being part of a dedicated team striving to make a significant difference in healthcare. We provide a unique opportunity for you to be at the cutting edge of healthcare innovation, shaping the future in a meaningful career. Embrace the chance to drive change with M3 USA.

Due to our continued growth, we are hiring for an AI Engineer. 

Job Description

The AI Engineer will build AI-powered systems that automate and improve workflows for M3 USA's healthcare businesses. The primary customers are non-technical business teams. You will work closely with them to understand their processes and pain points, then design and implement solutions that make them more effective.

This role is centered on agentic coding: using AI coding agents (Claude Code, OpenAI Codex, OpenCode, or similar) to build software an order of magnitude more rapidly than traditional methods. You should be an expert practitioner who has shipped real applications this way, not just experimented with the tools. You should have solid engineering fundamentals and the ability to critically review and improve on AI-generated plans and thoughtfully consider technology frameworks and architectures to facilitate effective AI-enabled development. You can flexibly adapt to new tools and apply them creatively to create new products and services and solve business problems.

As a Central Services position, you will work across M3 USA subsidiaries including Wake Research, PracticeMatch, The Medicus Firm, and others.

This position will report to the CTO (Brian Hooper).

Essential Duties and Responsibilities:

Agentic Development & Automation:

  • Use AI coding agents (Claude Code, OpenAI Codex, OpenCode, or similar) to rapidly build and iterate on production applications. You should be comfortable building full-stack applications in days or hours, not weeks.
  • Automate business workflows and processes by building custom tools, scripts, and integrations that reduce manual work.
  • Stay current with the latest agentic coding techniques, tools, and best practices. Evaluate emerging capabilities and share informed opinions on what works in production.

AI Solutions Development:

  • Develop LLM-based applications including document processing, intelligent assistants, and data extraction workflows.
  • Create proof-of-concepts to demonstrate feasibility and business value of AI initiatives.
  • Deploy AI applications to production and support real end users. Monitor usage, gather feedback, and iterate.

Requirements & Stakeholder Communication:

  • Translate business needs into technical requirements by observing how people actually work, not just what they ask for.
  • Communicate progress and tradeoffs clearly to non-technical stakeholders.

Operations & Governance:

  • Ensure AI solutions meet security, privacy, and compliance requirements, which is particularly important given healthcare data.
  • Monitor and maintain deployed solutions; iterate based on user feedback.
  • Manage costs and provide input on AI tools and platform selection.
Qualifications

Required:

  • Bachelor's degree in computer science or related field OR equivalent work experience

Knowledge, Skills, Abilities:

  • Demonstrated agentic coding expertise: Extensive hands-on experience using Claude Code, OpenAI Codex, OpenCode, or similar AI coding agents. You should have built multiple applications this way and be able to discuss specific techniques, workflows, and tradeoffs.
  • Portfolio of AI-developed projects: Tangible examples of applications you've built using agentic coding. We want to see GitHub repos, deployed demos, or production systems that show your ability to ship with AI assistance.
  • Production deployment experience: You have deployed AI-powered applications that are used by real end users (not just prototypes). You understand the operational challenges of maintaining AI systems in production.
  • Workflow automation experience: Track record of automating manual processes, whether through custom scripts, integrations, or low-code platforms.
  • Technical foundations: Python, TypeScript, web application development, SQL and databases, LLM APIs (Claude, OpenAI), prompt engineering, context engineering, REST APIs. Experience with cloud infrastructure (AWS, GCP, or Azure). Comfortable learning new languages and frameworks quickly with AI assistance.
  • AI fundamentals: Understanding of underlying AI technologies including transformers, neural networks, agentic loops, and context, among other topics. You should be able to reason about model capabilities and limitations based on architectural understanding.
  • Agentic systems experience: Hands-on experience building agentic workflows, multi-agent systems, or AI assistants with tool use. Understanding of when to use agentic patterns versus simpler approaches.
Additional Information

Benefits:

A career opportunity with M3 USA offers competitive wages, and benefits such as:

  • Health and Dental
  • Life, Accident and Disability Insurance
  • Prescription Plan
  • Flexible Spending Account
  • 401k Plan and Match
  • Paid Holidays and Vacation
  • Sick Days and Personal Day

*M3 reserves the right to change this job description to meet the business needs of the organization

M3 USA is an equal opportunity employer, committed to the principles of inclusion and diversity for all employees and to providing employees with a work environment free of discrimination and harassment.

All employment decisions at M3 USA are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex (including pregnancy), age, physical or mental disability, medical history or genetic information, sexual orientation, gender identity and/or expression, marital status, past or present military service, family or parental status, or any other status protected by the federal, state or local laws or regulations in the locations where we operate.

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About M3 USA

Sourced by ZipRecruiter

Industry

Recruiting and staffing services

Company size

201 - 500 Employees

Headquarters location

Washington, DC, US

Year founded

2014