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Engineering Manager - AI Applications

1 month, 1 week ago
India
Full-time
Lead
Engineering Manager
Software Development
Agile AWS Azure GCP LLM Machine Learning Microservices REST API SQL
Apply Now
ShyftLabs

ShyftLabs

ShyftLabs is a strategic partner in driving digital transformation with tailored solutions for businesses. Specializing in end-to-end software solutions, they integrate seamlessly to accelerate value creation, particularly in the retail sector. Their e...

IT Services
51-250
Founded 2018
View All Jobs 2

Description

  • Drive architectural decisions for AI applications, enterprise integrations, and cloud-agnostic deployments across AWS, Azure, and GCP.
  • Collaborate with technical leads on system design, database optimization, API architecture, and scalable backend and frontend development.
  • Lead, mentor, and grow a team of 7-12 software engineers through 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 delivery timelines.
  • Implement agile development processes, engineering best practices, and continuous improvement initiatives.
  • Coordinate with cross-functional teams including data, DevOps, and customer success.
  • Establish code quality standards, testing frameworks, and deployment pipelines.

Requirements

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
  • 10+ years of software engineering experience with strong system design and scalable architecture fundamentals.
  • 2-3+ years of engineering management experience leading technical teams in product companies.
  • Broad technical expertise spanning SQL/NoSQL databases, message queues, RESTful APIs, backend/frontend technologies, and microservices architecture.
  • Basic familiarity with AI/ML concepts and AI application integration with enterprise systems.
  • Experience with AWS, Azure, or GCP, containerization, and modern deployment practices.
  • Proven track record of scaling engineering teams, mentoring junior engineers, and establishing technical processes.
  • Strong communication skills for coordination 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: experience with LLMs, vector databases, RAG systems, and agentic systems in production environments.
  • Preferred: experience at AI/ML product companies or building enterprise AI applications.
  • Preferred: experience with API integrations and enterprise system integrations at scale.
  • Preferred: experience with real-time systems and event-driven architectures.
  • Preferred: background in enterprise data products or business intelligence platforms.

Benefits

  • Competitive salary.
  • Strong insurance package.
  • Extensive learning and development resources.
  • Growth-focused environment that supports employee development.

Interested in this position?

Apply directly on the company website

Apply Now

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