Engineering Manager, AI Enablement

Polluxa, Inc.; India; On-site; INR 4,000,000 - 6,500,000; Full time

Job summary

Polluxa, Inc. is seeking a senior engineering leader to drive AI enablement platforms and lead a team of engineers in building scalable ML solutions.

You will work closely with product and research teams to ensure technical decisions align with business goals while mentoring engineers and fostering a culture of innovation. Strong emphasis on architecture, performance, cost efficiency, and reliable AI infrastructure, with a focus on best practices in software development and deployment.

Qualifications

• 7+ years in software engineering; 3+ years in leadership
• Experience leading AI/ML teams or related domains
• Strong background in Python and cloud platforms (AWS/GCP/Azure)
• Expertise in designing scalable architectures
• Familiar with Agile methodologies and DevOps practices

Responsibilities

• Lead a team of engineers to develop and deploy AI enablement platforms
• Design scalable architectures for machine learning workflows and tools
• Collaborate with product and research teams to align technical solutions with business goals
• Mentor engineers and foster a culture of innovation and continuous learning
• Optimize AI infrastructure for performance, cost, and reliability
• Drive best practices in software development and deployment

Skills

Leadership

AI/ML

Python

Cloud platforms

System design

Agile/DevOps

Job description

Key Responsibilities

• Lead a team of engineers to develop and deploy AI enablement platforms


• Design scalable architectures for machine learning workflows and tools


• Collaborate with product and research teams to align technical solutions with business goals


• Mentor engineers and foster a culture of innovation and continuous learning


• Optimize AI infrastructure for performance, cost, and reliability


• Drive best practices in software development and deployment

Requirements

• 7+ years in software engineering with 3+ years in leadership roles


• Experience managing teams in AI/ML or related domains


• Strong background in Python and cloud platforms (AWS/GCP/Azure)


• Expertise in system design and scalable architectures


• Familiarity with Agile methodologies and DevOps practices