LLM Go Developer

📍remote
🕒Full-time
💰Salary not listed
📅Posted July 16, 2026

Job Description

A well-established company that is leveraging the advanced power of technology to help realize the science-fiction fantasy of collaborative and open-ended computer dialogues, is looking for Go develoeprs. The engineer will be working  together on the definition, design, and delivery of new features with cross-functional teams. The company is developing the next generation of dialog agents, which will have a wide range of uses in areas including education, entertainment, and general question-answering. This is an exciting opportunity for candidates who are keen to learn in a fast-paced setting.

Job Responsibilities:

  • Review the  code / solutions generated by an AI system, ensuring adherence to quality standards and best practices

  • Organize the development cycle, effectively manage project priorities, and specify goals and deadlines

  • Use your expertise in Go programming to help resolve difficult coding issues that come up during AI validation

  • Create a collaborative environment within the team that encourages innovation, communication, and continued improvement

  • Verify the accuracy, efficiency, and dependability of AI-generated code by validating it

  • Work with cross-functional teams to identify strategies for enhancing the AI system's capabilities and integrating it with other elements

  • Analyze team members' code and provide constructive feedback to promote a high caliber of software development

Job Requirements:

  • Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)

  • At least 3+ years of relevant experience as a software engineer

  • Demonstrated ability to lead, ideally overseeing a group of software engineers

  • In-depth knowledge of the Go programming languages and the best practices for software development

  • Desirable to have some experience with AI systems and code-creation technologies

  • Identify and add to public GitHub repositories that need improvement in a proactive manner which can involve developing new features and reworking existing code, and it will have a major influence on projects with large codebases (50K+ lines of code). It will be good to have candidates who have used Github in the past.

  • Train LLM models with high-quality, stable, and scalable back-end components using the newest coding best practices in a variety of languages and frameworks.

  • Ability to collaborate closely with developers, inspiring and setting an example for them

  • Outstanding problem-solving abilities as well as the capacity for critical and strategic thought

  • Exceptional communication skills, with proficiency in English, both written and verbal

Offer Details

  • This is a contractual position.

  • Duration of contract & committed hours are flexible.

Interview Process

Two internal interviews (60 min technical + 15-30 min cultural and offer conditions discussion).

Share this job opportunity:

About Turing

The Turing story

Based in San Francisco, California, Turing is a leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: accelerating frontier research with high-quality data, advanced training pipelines that push the boundaries of reasoning, multimodality, and STEM, plus top AI researchers with expertise in frontier data for coding, reasoning, STEM, multilinguality, multimodality, and agents; and applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence: systems that perform, deliver impact, and drive lasting results on the P&L.

Turing has received numerous awards, including Forbes’s “One of America’s Best Startup Employers,” #1 on The Information’s annual list of “Most Promising B2B Companies,” and Fast Company’s list of the “Best Workplaces for Innovators." Turing’s leadership team includes AI technologists from industry giants Meta, Google, Microsoft, Apple, Amazon, Twitter, McKinsey, Bain, Stanford, Caltech, and MIT.