Calix provides the cloud, software platforms, systems and services required for communications service providers to simplify their businesses, excite their subscribers and grow their value.
Calix is looking for accomplished Manager, Software Engineering and AI. This role will oversee the engineering team responsible for building Agentic AI application for Calix enterprise users and customers. Ideal candidate will work closely with the team in making architecture decisions, code reviews, and occasionally stepping into development work as needed. This position requires someone who can balance people leadership with technical depth, mentoring engineers while also rolling up their sleeves to solve complex problems alongside the team.
Key Responsibilities
Team Leadership
- Lead and mentor a team of software engineers and AI specialists, fostering a
collaborative and high-performing culture.
- Recruit, onboard, and develop engineering talent through regular 1:1s, coaching,
and career development planning.
- Strong leadership and communication skills, with the ability to work across
technical and non-technical teams.
Project Management
- Define sprint goals, project timelines, and deliverables in alignment with
business priorities
- Ensure timely delivery of high-quality, scalable, and secure AI-driven software
solutions
- Track and communicate project status, risks, and dependencies to stakeholders
AI Application Development and Integration
- Oversee the development of AI applications from concept to production
- Work closely with AI/ML engineers to integrate AI models into production
systems
- Ensure seamless integration of AI models with data pipelines, APIs, and backend
systems
- Drive implementation of full-stack AI solutions that are scalable, performant,
and maintainable
- Stay current with AI/ML advancements and identify opportunities to leverage
new technologies
Technical Excellence and Best Practices
- Ensure best practices in coding, testing, and system design are followed across
ML pipelines and infrastructure.
- Conduct code and architecture reviews to ensure robust, scalable, and
maintainable ML systems.
- Maintain hands-on involvement in critical technical decisions and code
contributions when needed.
Education and Experience:
- Bachelor's or master's degree in computer science, Software Engineering, or a
related field
- 8-12 years of experience in software development with at least 3-5 years in a
leadership, tech lead, or management role
- Strong hands-on coding experience with modern programming languages
(Python, Java, JavaScript, Go, or similar)
- Hands-on experience building agentic AI applications using frameworks such as
LangChain, LangGraph, CrewAI, Google ADK (Agent Development Kit), AutoGen,
or similar agent orchestration platforms
- Familiarity with Model Context Protocol (MCP) servers and tools for enabling AI
agents to interact with external systems and data sources.
- Understanding of agent design patterns including ReAct, Chain-of-Thought,
planning and reasoning architectures, and multi-agent systems
- Excellent communication, collaboration, and mentoring skills
- Demonstrated ability to balance technical contribution with people
management
Preferred
- Experience with cloud platforms (Google Cloud) and containerization
technologies (Docker, Kubernetes)
- Knowledge of microservices architecture and RESTful API design
- Experience with DevOps principles, CI/CD pipelines, and automated testing
frameworks
- Familiarity with natural language processing (NLP), computer vision, or deep
learning applications
Location:
- India (Flexible hybrid work model - work from Bangalore office for 20 days in a quarter)
