Lead AI Engineer

About Us

• Neuralcraft builds intelligent systems that bring human understanding to AI-driven workflows. From healthcare, insurance to e-commerce and citizen services, we design and deploy AI agents that reason, act, and explain their decisions enabling organizations to automate complex operations while keeping humans in the loop.
• Our products power personalized recommendations, automated decision support, and intent-driven experiences that connect people, products, and services with precision and empathy. Teams use Neuralcraft to turn raw data and business rules into adaptive intelligence layers that understand context, reduce manual work, and improve outcomes.
• We’re a growing team of engineers, designers, and AI researchers passionate about human-centric automation. Our experience spans applied AI, healthcare intelligence, and systems design. Working at Neuralcraft means helping shape the future of explainable, actionable AI - from building real-time intelligence layers for payers to creating hyperpersonalized retail systems that truly understand intent.

What You’ll Do

• Design and build end-to-end AI systems that power real-world, production-grade use cases across industries like healthcare, insurance, and 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.
• Design agentic workflows and dynamic context engines that enable adaptive, intent-aware automation for business processes.
• Lead and mentor a small team of engineers through the full lifecycle - from architecture and experimentation to deployment, monitoring, and iteration

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.

Job Type: Full-time

Work Location: In person