Position Overview:
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.
ShyftLabs is a leading data and AI product company founded in early 2020 and works primarily with Fortune 500 companies. We deliver digital products built to help accelerate the growth of businesses in various industries, by focusing on creating value through innovation
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.
