Job Details

Overview

Tech Lead - Pre-training & Post-training role at techire ai. This is a hands-on leadership role focused on training founding models and building the team and infrastructure to support pre-training and post-training of foundation models.

Responsibilities

• Lead pre-training and post-training of foundation models and architect reasoning-capable LLMs.
• Scale and manage a 15–20 person research and engineering team over 12 months.
• Make key architectural decisions and train models from scratch.
• Integrate models into domain-specific applications and align work with regulated industry requirements.
• Build infrastructure, teams, and frameworks that define the future of AI in high-stakes settings.

Qualifications

• Staff/Principal-level experience with hands-on model training.
• Deep expertise in pre-training or post-training (ideally both).
• Track record of driving impactful projects to completion.
• Strong understanding of LLM architectures and large-scale training.
• Experience leading complex technical initiatives across teams.
• Nice to have: experience in regulated/safety-critical AI, reasoning or planning architectures, open-source model development, or prior technical leadership.

Package & Location

Base pay range: $350,000/yr (base, negotiable) + substantial stock, healthcare, 401k, 20 vacation days, and flexible working. Based in the SF Bay Area.

Employment details

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Research, Engineering, and Science
• Industries: Software Development

Additional notes

This is an opportunity to lead foundation model development with resources, autonomy, and backing to deliver groundbreaking technology. All applicants will receive a response. US citizens and green card holders only.

About the company

Building Applied AI teams since 2019 | Generative AI - Speech/Audio, Language / LLM, Vision, Multimodal | Agentic AI | Conversational AI | RL |…

Ready to lead the development of a foundation model that powers the next generation of Agentic AI?

There is a challenge to build a reasoning-capable foundation model to power Agents, with collaboration between teams to fine-tune for industry use-cases and clients.

The work spans pre-training and post-training, scaling, and ensuring compliance with industry requirements.

Notes

Referrals increase your chances of interviewing at techire ai. This job posting includes information inferred from the description such as medical and vision insurance.