Manager, AI Engineering

Our client is an innovative technology company building intelligent software that empowers organizations to communicate more effectively, operate efficiently, and make data-informed decisions.

The Manager of AI Engineering will define and lead the vision, strategy, and execution of AI initiatives across our product ecosystem. You’ll build and guide a talented engineering team, drive technical excellence, and ensure that every AI feature delivers measurable impact and real-world value. This role combines strategic foresight with hands-on leadership. You’ll collaborate closely with Product, Design, and Engineering leaders to bring responsible AI solutions to life and you’ll play a key role in shaping how our technology evolves in the years ahead.

Responsibilities:

• Lead, mentor, and grow a team of AI engineers, fostering a culture of ownership, collaboration, and innovation.
• Set clear goals, provide continuous feedback, and support professional development through reviews, coaching, and technical guidance.
• Build a high-performance environment that encourages experimentation, learning, and long-term technical mastery.
• Define and execute a scalable AI strategy that aligns with organizational goals and enhances user experiences across multiple product lines.
• Partner with product and engineering leadership to identify opportunities for AI integration that improve automation, personalization, and operational efficiency.
• Evaluate emerging AI tools and frameworks, ensuring the organization remains at the forefront of responsible AI innovation.
• Serve as the bridge between engineering, product management, design, and leadership teams.
• Translate complex technical concepts into clear business outcomes that drive alignment and momentum.
• Foster strong communication and coordination across disciplines to ensure clarity of vision and smooth execution.
• Oversee project prioritization, timelines, and delivery of AI-powered features with a focus on quality, security, and performance.
• Remove blockers, balance resources, and ensure consistent, timely progress toward milestones.
• Promote best practices in AI observability, monitoring, and continuous improvement.
• Provide hands-on technical leadership in the architecture, design, and implementation of production-ready AI and machine learning systems.
• Ensure adherence to modern standards for data security, model ethics, scalability, and maintainability.
• Advocate for clean code, strong testing practices, and a quality-first mindset across the team.

Qualifications:

• 7+ years of software engineering experience, including at least 2 years in a leadership or management capacity.
• Proven success leading teams that deliver AI/ML, GenAI, or LLM-based systems at scale with high availability and low latency.
• Strong proficiency in Python and modern AI development frameworks (e.g., LangChain, LiteLLM, Langfuse, or similar).
• Experience in Ruby on Rails or similar frameworks.
• Experience applying techniques such as retrieval-augmented generation (RAG), fine-tuning, and cost optimization in production environments.
• Background in designing and deploying large-scale, multi-tenant SaaS solutions.
• Excellent communication and collaboration skills across both technical and non-technical teams.
• Deep understanding of agile principles and experience facilitating agile processes.
• A growth mindset, passion for developing people, and enthusiasm for building innovative, ethical AI systems.

Preferred Experience:

• Experience working in cloud environments (AWS, GCP, or Azure); cloud certifications are a plus.
• Demonstrated ability to anticipate emerging AI trends and position teams and products for long-term success.
• Experience balancing strategic priorities with technical execution in high-growth environments.

Why This Role Stands Out:

• You’ll shape the direction of AI for a product suite used at scale.
• You’ll lead a team that blends technical depth with creative problem-solving.
• You’ll have the autonomy to innovate while working closely with talented peers across disciplines.
• You’ll join a culture that values curiosity, clarity, and excellence in both people and technology.