Lead AI Engineer

About the role

Neuralcraft builds AI for the rooms where it has to be defended- healthcare, finance, insurance, and the public sector.

As a Lead AI Engineer, you’ll lead a small focused team to build AI solutions for some of the most impactful systems in the world.

This is a hands-on role for someone who enjoys the whole lifecycle- data, training, evaluation, serving, and the monitoring that keeps it honest once it’s live. You’ll work directly with our founders and our customers’ technical teams, often inside their private cloud.

What you’ll do

• Lead and mentor a team of AI engineers through the full lifecycle of product building for various verticals - from architecture and experimentation to deployment, monitoring, and iteration
• Design agentic workflows and dynamic context engines that enable adaptive, intent-aware automation for business processes.
• Design and build end-to-end AI systems that power real-world, production-grade use cases across industries like healthcare, insurance, and e-commerce.
• Prototype and experiment - rapidly turn new ideas into functional proof-of-concepts that push the boundaries of human-centric automation.
• Evaluate and fine-tune models, from classical ML pipelines to LLM-based reasoning systems, optimizing for performance, explainability, and reliability.
• Develop rigorous evaluation frameworks to ensure model behavior, alignment, and performance meet production standards.
• Deploy monitoring and observability tools for AI systems - tracking anomalies, staleness, and drift to maintain model health over time.

What we’re looking for

• 5+ years of professional experience in applied machine learning or AI systems development, with at least 2 years leading projects or small teams.
• Proven expertise in end-to-end model development, deployment, and iteration from research to production.
• Strong foundation in both deep learning and classical ML frameworks, with the ability to choose the right approach for the problem.
• Hands-on experience building LLM-powered applications, including fine-tuning, evaluation, and context engineering.
• Strong grasp of model evaluation, drift detection, and observability in production environments.
• Creative problem-solving mindset - comfortable generating or curating synthetic or weakly supervised data when needed.
• Experience designing or implementing agentic systems, reasoning pipelines, or AI orchestration layers is a strong plus.
• Ability to mentor engineers, collaborate across disciplines, and translate abstract AI ideas into reliable, human-aligned systems.

Bonus points

• Worked in a regulated domain (HIPAA, SR 11-7, model governance) or alongside a compliance/audit team.
• Experience with private-cloud or on-prem deployment, MLOps, and observability tooling.
• Open-source contributions, papers, or side projects we can look at.

Why Neuralcraft

You’ll work on consequential problems with a senior team, ship to real users in weeks, and own the outcome. We care about traceability, doing right by the people accountable for these systems, and moving at the speed of trust.