Responsibilities
- Own the architecture and enterprise rollout of the AI platform across the product organization.
- Build and operate model infrastructure, including model gardens, cost controls, model tiering, and fallback models.
- Establish identity federation, SSO, IAM, tenant isolation, security, compliance, and observability foundations.
- Create a self-service agent factory with templates, patterns, and in-IDE guardrails.
- Design and build agent workflows for ideation, development, deployment, monitoring, evaluation, and quality management.
- Build interoperable agents using cross-platform contracts, schema and intent mapping, and cross-perimeter authentication.
- Develop reference agents, RAG pipelines, integrations, and MCP connectors while debugging difficult retrieval and generation issues.
- Lead and mentor engineers, define technical standards and guardrails, influence cross-functional stakeholders, and manage external delivery partners.
- Drive adoption of enterprise AI tools through training, support, and measurable productivity improvements.
Requirements
- 10+ years of software engineering experience and 4+ years in a technical lead or staff-level role.
- Current hands-on coding ability with proficiency in Python and at least one other modern programming language.
- Production experience designing and operating AI/ML or LLM-based systems such as agents, RAG, or prompt and evaluation pipelines.
- Deep familiarity with Google Vertex AI, Gemini, IAM, networking, observability, and cost management.
- Experience building developer-facing platforms or internal tooling and driving adoption through training and support.
- Experience integrating systems through APIs and connectors, with authentication and identity federation experience including OAuth, SSO, or workload identity.
- Demonstrated ability to lead technical initiatives across teams and influence without authority.
- Strong communication skills with both engineering and non-technical business stakeholders.
- Preferred experience with Gemini Enterprise, Vertex AI, NotebookLM, agent development kits, A2A protocols, MCP, tool or function calling, LLM gateways, LiteLLM, model cost optimization, and multi-model fallback strategies.
- Preferred familiarity with systems integrators, Jira, Confluence, Figma, GitHub, AI coding assistants, AI governance, guardrails, data privacy, and enterprise compliance.
Benefits
- Flexible hybrid work model in India, with 20 days per quarter required in the Bangalore office.
- An in-person meeting is required during the recruitment and hiring process.
Tech Stack
Categories
About Calix
Calix is an AI platform company that enables service providers to transform their operations and accelerate delivery of differentiated experiences—so they can compete and win in the markets and communities they serve. Through the AI-native Calix One platform, service providers can securely and privately activate agentic-AI alongside their human teams to acquire new subscribers, grow existing subscriber revenue, and build loyalty across residential, business, municipal, and MDU markets. More than 1,200 customers of all sizes leverage the Calix One platform, which has evolved over 15 years at an investment of more than $2 billion. Calix innovation cycles are underpinned by a strong financial balance sheet and a people‑first culture that routinely earns broad industry recognition—winning 81 culture and innovation awards since 2025 alone, as well as Fortune’s 100 Best Companies to Work For® in 2026.