Engineering Manager – AI Applications

🕒 April 2

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

ShyftLabs

WebsiteLinkedInAll Job Openings

11 - 50 employees

🤖 Artificial Intelligence

🏢 Enterprise

Artificial Intelligence • Consulting • Enterprise

ShyftLabs is a company that specializes in delivering data and AI solutions to enterprises. They offer a range of services, including consulting, prototyping, solutions, platform scaling, and operations to help businesses navigate their data journey and leverage AI for transformative impact. ShyftLabs focuses on empowering organizations with advanced data analytics, AI capabilities, and secure data infrastructure to drive real value and optimize operations across the enterprise. They partner with clients throughout the entire lifecycle of data and AI needs, ensuring efficient and impactful integration of AI solutions into existing workflows. With expertise in cloud platform services and a commitment to secure, optimal performance, ShyftLabs delivers tailored solutions for strategic data and AI transformation.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• Competitive salary • Strong insurance package • Extensive learning and development resources