Engineering Manager AI

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