Engineering Manager

• Lead teams building AI-powered applications, intelligent automation, and data driven solutions.
• Guide engineers on integrating LLMs, vector search, prompt engineering, and AI pipelines into products.
• Partner with AI/ML specialists to convert POCs into scalable production systems.
• Contribute actively to codebases using Node.js, Python, React.js, Angular, and related frameworks.
• Design microservices, APIs, and cloud-native applications with AI components embedded.
• Perform code reviews, provide architectural direction, and ensure high engineering standards.
• Own delivery excellence across sprints — scope planning, engineering estimations, prioritization, dependency management, and stakeholder alignment.
• Drive high-quality, on-time delivery for AI and application engineering initiatives.
• Ensure strong CI/CD, DevOps automation, and observability practices within the team.
• Lead, mentor, and coach a team of 6–12 engineers, AI developers, and tech leads.
• Conduct 1:1s, performance reviews, skill assessments, and career coaching.
• Hire strong engineering talent and ensure smooth onboarding and competency growth.
• Work closely with architects to define scalable AI + application architectures.
• Lead design discussions around distributed systems, API contracts, data flows, and model integration.
• Partner with Product Managers, UX designers, AI/ML engineers, and DevOps teams to deliver cohesive solutions.
• Translate business problems into technical solutions with clear trade-offs and measurable impact.
• Communicate progress, risks, and technical decisions clearly to stakeholders and customers.

Engineering Manager – Fullstack, AI Engineering

Technical Lead – Engineering Manager, Full Stack, Gen AI

Engineering Manager, Full Stack – Gen AI

Engineering Manager

Engineering Manager