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Part Time Llm Developer Jobs (NOW HIRING)

Bechtel

AI Solutions Engineer

Reston, VA · On-site

Telework Type: Part-Time Telework * Work Location: Reston, VA * Salary Range: 123,400 - 178,500 ... Support the integration of AI agents and large language model (LLM)-based tools into project ...

Bechtel

AI Solutions Engineer

Reston, VA

Telework Type: Part-Time Telework * Work Location: Reston, VA * Salary Range: 123,400 - 178,500 ... Support the integration of AI agents and large language model (LLM)-based tools into project ...

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How much do part time llm developer jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for part time llm developer in the United States is $19.71, according to ZipRecruiter salary data. Most workers in this role earn between $13.70 and $19.95 per hour, depending on experience, location, and employer.

What is a part time LLM developer?

A Part Time LLM Developer is a professional who works with large language models (LLMs), such as GPT or similar AI technologies, on a part-time basis. Their responsibilities can include designing, training, fine-tuning, and deploying LLMs for various applications like chatbots, content generation, or data analysis. Working part-time means they typically have flexible hours and may contribute to projects for multiple clients or companies. This role requires a strong foundation in programming, natural language processing, and machine learning concepts.

What are the key skills and qualifications needed to thrive as a part time LLM developer?

To thrive as a Part Time LLM Developer, you need strong programming skills (especially Python), a solid understanding of machine learning concepts, and experience with large language models (LLMs) or natural language processing. Familiarity with tools like TensorFlow, PyTorch, Hugging Face Transformers, and knowledge of cloud platforms or APIs is typically required. Effective problem-solving, time management, and clear communication are vital soft skills for collaborating remotely and balancing part-time workloads. These competencies are crucial for efficiently developing, deploying, and refining LLM-based applications while meeting project goals within limited hours.

What are some common challenges faced by part time LLM developers, and how can they be managed effectively?

Part-time LLM developers often face challenges such as managing time efficiently to keep up with evolving AI frameworks and balancing project deadlines with limited working hours. Communication with full-time team members can also be tricky, as project updates and collaboration often happen outside their scheduled hours. To succeed, it's important to set clear expectations with your team, leverage asynchronous communication tools, and prioritize tasks that align with your expertise. Staying up-to-date with industry trends through self-study can also help bridge any knowledge gaps.
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Part Time Llm Developer jobs near you
Infographic showing various Part Time Llm Developer job openings in the United States as of August 2026, with employment types broken down into 82% Full Time, 2% Part Time, and 16% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $40,987 per year, or $19.7 per hour.

Risk Engineering, Vice President, Market Risk Strats, New York

Goldman Sachs, Inc.

New York, NY • On-site

Full-time, Part-time

Re-posted 18 days ago

Goldman Sachs rating

7.8

Company rating: 7.8 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

88th of 171 rated banks

Job description

In Risk Strats, we are a team of quantitative experts responsible for driving timely and efficient risk management across the firm's market, credit, liquidity, and capital exposures. We design and deliver quantitative models, metrics, tools, and analyses essential to the firm's financial control and reporting functions. 
The team is responsible for designing, implementing and maintaining quantitative measures of risk such as Value at Risk, Exposure Modelling, Stress Testing, as well as metrics used to determine the firm's capital requirements, along with tools and systems that streamline and bring efficiency to the review and explanation of these metrics by leveraging Large Language Models (LLMs).

Whether assessing the creditworthiness of the firm's counterparties, monitoring market, credit, and liquidity risks associated with trading activities, or offering analytical and regulatory compliance support, our work contributes directly to the firm's success. The division is ideal for collaborative individuals who have strong ethics and attention to detail.

FUNCTIONALITY DESCRIPTION
  • Developing risk models, generating risk metrics and sensitivity analysis that use advanced mathematical/statistical/engineering approaches such as optimization, stochastic calculus, machine learning
  • Performing detailed analysis on risk trends and drivers and communicating insights to internal and external stakeholders, harnessing the latest advancements in Large Language Models (LLMs) to deliver timely, efficient, and high-quality analysis, review, and explanation.
  • Strong commercial mindset, with a proven ability to deliver pragmatic, working solutions quickly and iterate based on stakeholder feedback and changing priorities.
  • Updating and maintaining risk models along with business growth and risk environment changes
  • Developing and maintaining large scale risk infrastructures/systems using strong programming experience in at least one compiled or scripting language (e.g. C, C++, Java, Python, Scala)
  • Experience in designing highly scalable, efficient and robust systems
  • Effectively communicating results and outputs from the model and insights from analysis
QUALIFICATIONS
  • Post graduate degree /bachelor's degree in mathematics, Physics, Electrical Engineering or related technical discipline
  • Passion for financial markets with strong familiarity across asset classes (equities, rates, credit, derivatives) and how they drive risk and capital.
  • Quantitative engineering mindset - blends financial intuition with rigorous methods to build robust, production-ready analytics.
  • Hands-on experience building LLM agents over financial data (RAG, tool-use, agentic workflows) to automate analysis and explanation.
  • Commercial mindset - applies software and LLMs to solve real financial problems, optimizing for impact over technology.
  • Strong analytical and problem-solving skills using math, statistics, and programming
  • Demonstrated ability to learn new technologies and apply
  • Excellent communication skills including experience speaking to technical and business audiences and working globally
  • Strong programming experience in at least one compiled or scripting language (e.g. C, C++, Java, Python)

Salary Range 
The expected base salary for this New York, New York, United States-based position is $130000-$250000. In addition, you may be eligible for a discretionary bonus if you are an active employee as of fiscal year-end.

Benefits 
Goldman Sachs is committed to providing our people with valuable and competitive benefits and wellness offerings, as it is a core part of providing a strong overall employee experience. A summary of these offerings, which are generally available to active, non-temporary, full-time and part-time US employees who work at least 20 hours per week, can be found here.

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About Goldman Sachs

Sourced by ZipRecruiter

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1869

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