Engineering Manager - AI Applications

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…