Shyftlabs9mo ago

Engineering Manager - AI Applications

NoidaRemoteFull-Timemid

EngineeringData ScienceManagementEngineering Manager

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Quick Summary

Overview

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.

Technical Tools

awsazuregcpsqlagilecustomer-successdistributed-systemsmentoringmicroservicesrest-apissystem-design

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

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

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

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