Who We Are
Why You’ll Love This Job
As the Manager of AI Engineering at Apptegy, you’ll play a pivotal role in leading the vision, strategy, and execution of our AI initiatives. You will manage and grow a talented team of AI engineers, guiding them to deliver cutting-edge solutions that make a meaningful impact on the way schools communicate.
You’ll thrive here if you’re passionate about both the strategic and human sides of leadership — someone who can think big about the future of AI in our products while developing people, fostering collaboration, and ensuring projects move forward with clarity and purpose.
This is your opportunity to shape Apptegy’s AI roadmap, build a high-performing team, and act as a bridge between product, design, and engineering to bring intelligent, innovative solutions to life.
What You’ll Do
- Lead and Manage the AI Engineering Team:
Provide day-to-day guidance, mentorship, and support to a growing team of AI engineers. Foster a culture of ownership, learning, and innovation while helping each team member reach their full potential. - Drive Strategic AI Initiatives:
Partner with engineering and product leadership to define and execute Apptegy’s AI strategy. Align technical efforts with business goals and ensure AI capabilities enhance user experiences across our product suite. - Cross-Functional Collaboration:
Serve as the key liaison between engineering, product management, design, and leadership teams. Translate technical insights into business value and ensure smooth communication across functions. - Project Execution & Delivery:
Keep projects moving forward through clear direction, accountability, and prioritization, adhering to timelines. Remove blockers, communicate progress, and ensure timely, high-quality delivery of AI-driven features. - Technical Oversight:
Provide technical leadership in AI design, architecture, and integration. Ensure AI best practices for security, ethics, observability, and clean code are adopted across the engineering organization. - Mentorship & Growth:
Champion professional development for your team — coaching engineers by reviewing code, collaborating on design documents, offering constructive JIT feedback, performing annual reviews, and identifying growth opportunities aligned with both individual and organizational goals.
What You’ll Bring
- 7+ years of software engineering experience, with at least 2 years in a leadership or management capacity.
- Proven success leading high-performing engineering teams delivering production AI/ML, GenAI/LLMs, or Agentic AI systems at scale (high availability, low latency, strong security, and compliance).
- Expertise in Python and modern GenAI/LLM architectures(e.g., LangChain, LiteLLM, Langfuse) and how to apply them in production environments (RAG, fine-tuning, cost optimization, etc.).
- Experience driving the design and implementation of large-scale initiatives for multi-tenant SaaS products
- Experience working in high-growth environments and comfortable balancing tactical and strategic considerations
- Exceptional verbal and written communication to foster collaboration between engineering, product management, design, and leadership teams
- Deep understanding of agile methodologies/mindset and experience facilitating agile ceremonies
- Quality first mindset that focuses on thorough and thoughtful code reviews, limiting defect rates, and improving system performance
- A growth mindset and passion for developing people and fostering innovation.
What Helps You Stand Out
- Experience with Ruby on Rails, our core tech stack.
- Experience with AWS with Certifications ( Solutions Architect, AI Practitioner, Machine Learning)
- Exceptional Technical Leadership: Your ability to provide clear technical direction, mentor engineers, and effectively communicate complex AI concepts to both technical and non-technical audiences.
- Strategic Problem-Solver: You don't just solve problems; you anticipate future AI trends and strategically position the product suite and engineering organization to capitalize on them.
Why Apptegy
Life insurance
15 days Aguinaldo
Vales de Despensa
Fondo de Ahorro
Caja de Ahorro
Flexible paid time off policy
Paid travel to/from Little Rock, Arkansas for Onboarding.
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