Director of AI Engineering in United States at Jobgether

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

This is a high-impact leadership role responsible for defining and scaling the AI and ML systems powering next-generation accounts payable automation. You will lead the development of production-grade AI products, including agentic workflows, invoice intelligence, and conversational AI tools used by enterprise customers at scale. Operating in a fast-paced, product-driven environment, you will balance hands-on technical contribution with strategic roadmap ownership. The role blends deep engineering execution with team leadership, requiring someone who thrives in ambiguity and enjoys building from the ground up. You will work closely with Product, Platform, and Data teams to shape core architecture decisions and deliver real-world AI systems that handle complex financial data. This is a rare opportunity to influence both the technical foundation and future direction of an AI-native enterprise platform.

• Lead the design, architecture, and delivery of production AI/ML systems, actively contributing code while guiding team execution across models and infrastructure.
• Own the end-to-end AI roadmap, including prioritization, technical trade-offs, and delivery of agentic workflows and ML-powered features.
• Build and scale advanced AI systems such as LLM-based agents, RAG pipelines, and multi-step reasoning workflows for invoice and vendor intelligence.
• Establish technical standards for model evaluation, observability, reliability, and performance across all AI systems.
• Manage and grow a distributed team of 8–10 ML and Data engineers, fostering strong technical culture and high execution velocity.
• Partner cross-functionally with Product, Platform Engineering, and customer-facing teams to align AI capabilities with business needs and customer feedback.
• Oversee the full ML lifecycle including data collection, training, deployment, monitoring, and continuous optimization of production systems.

• 8+ years of experience in software engineering, machine learning, or AI engineering, including leadership experience in startup or growth-stage environments.
• Strong hands-on expertise in building production AI systems, including LLM-based agents, RAG pipelines, and tool-using or multi-agent architectures.
• Deep experience with ML frameworks and infrastructure such as Python, PyTorch/TensorFlow, and LLM ecosystems (e.g., OpenAI, Anthropic APIs).
• Proven ability to design and deploy scalable ML systems, including model evaluation frameworks, observability tooling, and A/B testing methodologies.
• Strong understanding of distributed systems, data pipelines, and cloud infrastructure (preferably AWS).
• Experience with fine-tuning models (LoRA, QLoRA) and managing training data pipelines and labeling workflows.
• Ability to lead engineering teams while remaining deeply technical and actively contributing to code and system design.
• Excellent communication skills with the ability to translate complex AI concepts for both technical and non-technical stakeholders.

• Competitive compensation package including base salary and annual bonus
• Comprehensive medical, dental, and vision insurance for employees and families
• 401(k) retirement plan with company match
• Flexible paid time off and supportive leave policies
• Remote-first work environment across the United States
• Annual company retreats and team gatherings
• Career growth opportunities in a high-scale, AI-driven startup environment
• Equity participation in a fast-growing company building enterprise AI infrastructure