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 environmentsCollaborate with Technical Leads on system design, database optimization, API architecture, and scalable backend/frontend developmentLead, mentor, and grow a team of 7-12 software engineers by providing technical guidance and structured career developmentStay current with AI/ML technologies, agentic AI frameworks, and enterprise integration patternsPartner with Product Managers to translate business requirements into technical roadmaps and deliverable timelinesImplement agile development processes, engineering best practices, and continuous improvement initiativesCoordinate with cross-functional teams including data, DevOps, and customer success teamsEstablish code quality standards, testing frameworks, and deployment pipelines
Basic Qualifications:
Bachelor's or Master's degree in Computer Science, Engineering, or related technical field10+ years of software engineering experience with strong system design and scalable architecture fundamentalsMinimum 2-3 years of engineering management experience leading technical teams in product companiesBroad technical expertise spanning databases (SQL/NoSQL), message queues, RESTful APIs, backend/frontend technologies, and microservices architectureBasic familiarity with AI/ML concepts and understanding of AI application integration with enterprise systemsExperience with cloud platforms (AWS, Azure, GCP), containerization, and modern deployment practicesProven track record of scaling engineering teams, mentoring junior engineers, and establishing technical processesStrong communication skills with ability to coordinate effectively with Product Managers, Technical Leads, and cross-functional teamsProblem-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 environmentsPrevious experience at AI/ML product companies or building enterprise AI applicationsExperience with API integrations and enterprise system integrations at scaleExperience with real-time systems and event-driven architecturesBackground 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.
