Applied AI Engineer building evaluation pipelines, production agents, and reliable clinical AI for Tali’s healthcare platform. Owning models, retrieval, routing, and observability across ambient scribe, billing, search, and clinical workflows.
About the role
- Staff AI Engineer leading Calix’s enterprise agent platform for broadband providers. Building agentic workflows, RAG pipelines, integrations, and governance across product development.
Responsibilities
- Own the architecture and rollout of the enterprise AI platform across the product organization
- Build and operate cost-effective AI infrastructure, including model garden setup, budget controls, cost monitoring, model tiering, and fallback open-source models
- Establish platform foundations including identity federation/SSO, IAM, tenant isolation, security and compliance guardrails, and observability
- Enable adoption of enterprise AI capabilities through training and ongoing support
- Design and deliver a self-service agent factory with patterns, templates, and in-IDE guardrails
- Lead the design and build of agent workflows across ideation, development, deployment, CI/CD, and monitoring
- Partner with product, engineering, and business teams to develop use cases and drive measurable productivity gains
- Establish evaluation, quality, and monitoring practices for agent workflows from sandbox to production
- Build interoperable agents using cross-platform contracts, schema/intent mapping, and cross-perimeter authentication
- Represent the product organization in cross-platform agent design discussions
- Own technical strategy, standards, patterns, and guardrails for agentic workflows, RAG, security, and governance
- Lead and mentor teams across cloud and enterprise AI tracks through code reviews, pairing, and design reviews
- Scope, review, and manage external delivery partners’ work
- Build reference agents, RAG pipelines, integrations, and MCP connectors, and debug complex retrieval and generation behavior
Requirements
- 10+ years of software engineering experience
- 4+ years in a technical lead or staff-level role
- Strong, current hands-on coding ability
- Proficiency in Python and comfort with at least one other modern language
- Experience designing and operating production AI/ML or LLM-based systems, including agents, RAG, or prompt/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 via APIs and connectors
- Comfort with authentication and identity federation, including OAuth, SSO, and workload identity
- Track record of leading technical initiatives across teams and influencing without authority
- Strong communication skills with engineers and non-technical business stakeholders
- Preferred: hands-on experience with Gemini Enterprise, Vertex AI, NotebookLM, or comparable enterprise AI tooling
- Preferred: experience with agentic systems and orchestration, including agent development kits, A2A protocols, MCP, and tool/function calling
- Preferred: experience with LLM gateways and routing, model cost optimization, and multi-model fallback strategies
- Preferred: experience managing or working alongside systems integrators or delivery partners
- Preferred: familiarity with Jira/Confluence, Figma, GitHub, CI/CD, and AI coding assistants
- Preferred: familiarity with AI governance, guardrails, data privacy, and enterprise compliance
Benefits
- Potential eligibility for a bonus as part of the total compensation package
- Employee benefits package (specific benefits linked in the posting)
- Remote-based position
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