Python Engineering Manager – LLM at Turing

Python Engineering Manager – LLM Training & Evaluation | Contractor | Remote (LATAM) | ~2 Months

Turing is seeking an experienced Python Engineering Manager to lead large technical teams supporting the development of high-quality Large Language Models (LLMs). This is a hands-on leadership role combining engineering oversight, delivery management, and direct client collaboration within a fast-paced AI infrastructure environment.

About Turing

Turing is one of the world's leading AGI infrastructure companies, partnering with frontier AI labs to accelerate model development through high-quality training data, evaluations, and top-tier engineering talent.

What You'll Do

• Lead and manage large teams of Python engineers working on LLM training and evaluation tasks.
• Oversee execution of Supervised Fine-Tuning (SFT), Reinforcement Learning from Human Feedback (RLHF), and technical data-generation workflows.
• Own end-to-end project delivery from initiation through stabilization and ongoing execution.
• Collaborate with research clients and internal stakeholders to align on requirements and ensure successful outcomes.
• Establish rigorous review processes to maintain dataset quality and consistency.
• Conduct hands-on technical reviews and guide teams in improving Python code quality and engineering practices.
• Identify and resolve issues related to task clarity, methodology, code quality, and implementation bugs.
• Implement scalable processes to improve productivity, quality, and cost efficiency.
• Mentor engineering leads and foster a high-performance, collaborative team culture.
• Track delivery metrics, identify risks, and implement corrective actions proactively.

What We're Looking For

• 5+ years of software engineering experience with strong hands-on Python proficiency.
• Proven track record managing large technical teams in delivery-oriented environments.
• Solid understanding of code review, debugging, testing, and quality assurance practices.
• Excellent leadership, mentoring, and people management skills.
• Strong communication and stakeholder management abilities.
• Demonstrated ownership of project outcomes, timelines, and operational performance.
• Ability to manage multiple priorities in a fast-paced, client-facing setting.

Engagement Details

• Type: Independent Contractor
• Duration: Approximately 2 months
• Availability: 40 hours/week preferred; minimum 6 hours Pacific Time overlap daily
• Location: Remote – LATAM
• Start: As soon as possible
• Compensation: Market rate – please provide a specific hourly rate expectation upon applying

Evaluation Process

• Hiring Manager interview (~30 minutes)