Lead AI Engineer

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Lead AI Engineer in United States.

This is a strategic leadership role at the forefront of applied artificial intelligence, focused on advancing large language model (LLM) systems in real-world, high-scale production environments. You will own the full post-training lifecycle of LLMs, from supervised fine-tuning and preference optimization to deployment, monitoring, and continuous improvement. Working with massive real-time data systems, you will help shape intelligent decision-making engines that operate at extraordinary scale. This role blends deep technical expertise with cross-functional collaboration, enabling you to influence architecture, performance, governance, and safety standards. If you are passionate about improving model behavior through data-driven iteration—not just prompt engineering—this opportunity offers both impact and technical ownership.

• Lead end-to-end Supervised Fine-Tuning (SFT) initiatives for large language models, shaping reasoning quality, tone, instruction adherence, and domain-specific performance in production systems.
• Extend post-training pipelines through instruction tuning and preference-based optimization techniques (including RLHF-style or direct preference optimization approaches).
• Design, curate, and maintain high-quality datasets for SFT and preference training, leveraging both human-labeled and synthetic data aligned to real-world use cases.
• Own model evaluation and benchmarking frameworks, including offline behavioral evaluations, online A/B testing, regression monitoring, and performance tracking.
• Develop and operate agentic LLM systems supporting multi-step reasoning, tool integration, workflow orchestration, and automated decision execution.
• Optimize prompting strategies, retrieval-augmented generation (RAG), memory systems, and tool-calling mechanisms, understanding when to apply fine-tuning versus prompt-based solutions.
• Collaborate with data engineering, platform, and product teams to integrate fine-tuned models into scalable, high-throughput, low-latency environments.
• Establish best practices for model versioning, deployment, rollback strategies, experimentation, governance, and AI safety standards.
• Provide technical leadership and mentorship to engineers working on applied AI and LLM initiatives.

• Significant hands-on experience leading Supervised Fine-Tuning (SFT) of LLMs in production environments, beyond prompt-only implementations.
• Direct experience with OpenAI APIs and/or AWS Bedrock for post-training, fine-tuning, and deployment workflows.
• Strong expertise in LLM post-training methodologies, including instruction tuning, data preparation, evaluation frameworks, and diagnosing common failure modes.
• Proven experience building and operating agentic LLM systems involving tool use, multi-step reasoning, and workflow orchestration.
• Advanced proficiency in Python and modern machine learning frameworks such as PyTorch.
• Experience deploying and maintaining ML systems in distributed, production-grade infrastructures.
• Strong understanding of trade-offs across model performance, latency, cost efficiency, scalability, and safety.
• Demonstrated ability to lead technically, mentor team members, and drive high-impact AI initiatives from concept through deployment.

• Competitive salary range of $200,000 – $215,000 USD, based on experience and location
• Employee equity participation
• Unlimited paid time off
• Comprehensive medical, dental, and vision coverage
• Virtual wellness programs and employee discount offerings
• Pet insurance options
• Opportunity to work on cutting-edge AI systems operating at massive scale
• Inclusive, collaborative culture that values innovation and belonging

Why Apply Through Jobgether?

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

 Why Apply Through Jobgether? 

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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