ShyftLabs is seeking an experienced Engineering Manager to lead the development of cutting-edge AI applications and drive the technical excellence of our engineering teams. You will manage a dynamic team of 7-12 engineers while maintaining hands-on technical involvement in architecting and building scalable AI-powered enterprise products. This role requires a unique blend of people leadership, technical expertise, and process optimization to deliver innovative agentic AI products that transform how enterprises interact with their data.

Job Responsibilities:

• Drive architectural decisions for AI applications, enterprise integrations, and cloud-agnostic deployments across AWS, Azure, and GCP environments.
• Collaborate with Technical Leads on system design, database optimization, API architecture, and scalable backend/frontend development.
• Lead, mentor, and grow a team of 7-12 software engineers by providing technical guidance and structured career development.
• Stay current with AI/ML technologies, agentic AI frameworks, and enterprise integration patterns.
• Partner with Product Managers to translate business requirements into technical roadmaps and deliverable timelines.
• Implement agile development processes, engineering best practices, and continuous improvement initiatives.
• Coordinate with cross-functional teams including data, DevOps, and customer success teams.
• Establish code quality standards, testing frameworks, and deployment pipelines.

Basic Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering, or related technical field.
• 10+ years of software engineering experience with strong system design and scalable architecture fundamentals.
• Minimum 2-3 years of engineering management experience leading technical teams in product companies.
• Broad technical expertise spanning databases (SQL/NoSQL), message queues, RESTful APIs, backend/frontend technologies, and microservices architecture.
• Basic familiarity with AI/ML concepts and understanding of AI application integration with enterprise systems.
• Experience with cloud platforms (AWS, Azure, GCP), containerization, and modern deployment practices.
• Proven track record of scaling engineering teams, mentoring junior engineers, and establishing technical processes.
• Strong communication skills with ability to coordinate effectively with Product Managers, Technical Leads, and cross-functional teams.
• Problem-solving aptitude with experience debugging complex distributed systems and making data-driven technical decisions.

Preferred Qualifications:

• Experience with LLMs, vector databases, RAG systems, and agentic systems in production environments.
• Previous experience at AI/ML product companies or building enterprise AI applications.
• Experience with API integrations and enterprise system integrations at scale.
• Experience with real-time systems and event-driven architectures.
• Background in enterprise data products or business intelligence platforms.

We are proud to offer a competitive salary alongside a strong insurance package. We pride ourselves on the growth of our employees, offering extensive learning and development resources.