Foundational AI Engineer

Quick Facts

• Role: Foundational AI Engineer (Foundational AI)

• Focus: Training, fine-tuning, post-training, and evaluating small and large language models for reliable production use in regulated environments

• Work mode: Fully remote

Description

You’ll build the organization’s own small and large language models rather than working on top of existing ones. The work is hands-on in Python and PyTorch, with a strong emphasis on evaluation and making models reliable in production within highly regulated environments.

Responsibilities

• Train, fine-tune, and post-train small and large language models—from data preparation through evaluation and release

• Design and run rigorous model evaluation using benchmarks, regression sets, and quality criteria grounded in real client use cases

• Build and improve training pipelines and infrastructure, including data curation, experiment tracking, and reproducibility

• Apply and adapt modern training techniques (e.g., parameter-efficient fine-tuning and post-training/alignment methods) and measure real impact

• Support model serving and inference optimization with tools such as vLLM and SGLang, considering deployment constraints in client environments

• Monitor deployed models for quality degradation and drift, and drive retraining or corrective actions

• Help define model strategy: when custom models deliver value vs using frontier models or deterministic code

• Collaborate with Applied AI, product, and engineering teams to ensure models meet real product and client needs

Requirements

• Hands-on, up-to-date experience training and fine-tuning models (builder mindset)

• Deep PyTorch expertise, including building and modifying model architectures

• Rigorous approach to evaluation, regression detection, and model degradation analysis

• Strong Python software engineering fundamentals

• Sound judgment on investing in custom models based on accuracy, cost, and latency

• Comfort working in a fast-moving, ambiguous environment with high ownership

• Strong communication skills across engineering, product, and leadership

Benefits

Join an early-stage, fast-growing AI team with real ownership over what you build and how you build it, and the chance to directly influence differentiated enterprise AI technology.