Overview
Hands-on Senior AI Engineer within Zscaler's IT AI/ML Engineering team in India, designing, building, testing and operating production-grade AI applications used by employees and customers globally, working daily with a US-based technical lead and distributed teammates.
What you'll do
- Design and build production-grade AI services, APIs, and retrieval pipelines in Python with clean, tested, and well-documented code.
- Lead scoped AI projects from design to launch, breaking down ambiguous business requirements into clear technical tasks.
- Integrate test sets, regression checks, tracing, and cost/latency tracking into every feature to ensure system reliability.
- Partner closely with global, cross-functional teams, share status transparently, review code, and mentor junior engineers.
- Provide L2 support for AI applications, administer enterprise AI platforms, write runbooks, and build automation to reduce repeat issues.
What you'll need
- Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain.
- 5+ years of software engineering experience, including 2+ years of hands-on experience building applications with LLMs or ML services.
- Bachelor's or Master's degree in Computer Science/Engineering (or equivalent experience) with strong Python skills and solid API/service design.
- Hands-on experience with prompt design, Retrieval-Augmented Generation (RAG), and function calling or agent frameworks.
- Experience evaluating AI systems using test sets, regression checks, and tracing or monitoring tools.
- Working knowledge of cloud (AWS, GCP, or Azure), Docker, CI/CD, and experience debugging and supporting production services.
Nice to have
- Proven ability to leverage AI technologies and workflows to drive operational efficiency, backed by exposure to how AI agents or models are built.
- Experience with vector/graph databases, embeddings, rerankers, model serving, fine-tuning, or open-weight models.
- Familiarity with Model Context Protocol (MCP), tool-integration standards, and agent memory/context management.
- Experience administering enterprise AI platforms (e.g., Claude, OpenAI, Bedrock) or building custom Slack bots and web widgets.
- Proven experience running technical workshops, writing runbooks, or contributing to the community via open-source, publications, or talks.
Details
- Location: Bangalore, India.
- Work mode: Hybrid.
- Collaboration across time zones with a US-based technical lead and distributed teammates; communication in English.
Read the full description and apply on the company’s own careers page.