AI Engineer, Agentic Systems (Quality Engineering)
Palo Alto Networks1 day ago
Bengaluru, IndiaEntry Level / Mid Level
Responsibilities
- Develop and maintain agent workflows with planner-executor loops, state management, tool calling, and failure recovery using frameworks such as LangGraph, ADK, LangChain, AutoGen, and CrewAI.
- Integrate agents with Salesforce, SAP, licensing, entitlement, quoting, provisioning, and ITSM platforms through APIs, webhooks, events, and message queues.
- Build RAG pipelines, context-grounding systems, tool definitions, JSON schemas, and MCP tools for reliable enterprise workflows.
- Create golden-set evaluations, guardrails, rate limits, fallbacks, human-in-the-loop approvals, tracing, metrics, and token-cost monitoring for agent systems.
- Apply responsible AI, intellectual-property, privacy, secret-management, and external-service opt-in controls.
- Collaborate with platform architects, quality engineering leads, product managers, security teams, and enterprise application specialists.
- Contribute reusable tools, working examples, reviewed code, and knowledge sharing across engineering teams.
Requirements
- 1–4 years of professional software engineering experience or equivalent demonstrable capability.
- Strong proficiency in Python or TypeScript/Node.js, including data structures, testing, and code review fundamentals.
- Practical experience building and consuming REST APIs, using relational databases, and handling asynchronous or queue-based processing.
- Hands-on experience with LLM APIs, prompting, function/tool calling, and structured outputs through work, internships, open-source contributions, or substantial personal projects.
- Experience building at least one working agent or retrieval pipeline end to end and explaining its design, failures, and improvements.
- Ability to read unfamiliar enterprise API documentation and determine safe integration approaches.
- Working knowledge of Git, automated build and test pipelines, and AI-assisted development tools such as Cursor, Claude Code, or GitHub Copilot.
- B.E., B.Tech, or M.Tech in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience.
- Preferred qualifications include production AI agents, multi-agent systems, Salesforce or SAP integrations, vector databases, advanced retrieval, MCP servers, cloud and container platforms, test automation, and B2B sales, PRM, or Quote-to-Cash domain knowledge.
Benefits
- Bangalore office role with most teams working from the office full time, with flexibility when needed.
- Company-funded training supporting progression from AI Engineer toward AI Architect.
- Opportunity to work on mission-driven enterprise AI and cybersecurity projects with cross-functional engineering teams.
- People-centric culture emphasizing collaboration, innovation, inclusion, and employee experience.
Tech Stack
Categories
About Palo Alto Networks
Palo Alto Networks builds cybersecurity products for enterprises and governments, including next-generation firewalls, cloud security (Prisma Cloud/Prisma Access), and SOC tools (Cortex). It sells subscriptions and appliances with cloud-delivered threat intelligence, securing networks, endpoints, and applications across data centers and public clouds. Founded in 2005 and headquartered in Santa Clara, California, the company is publicly traded on the NYSE under the ticker PANW.