AI Engineer

AI Engineer (Agent Systems)

Proofpoint is a global leader in human- and agent-centric cybersecurity. We protect how people, data, and AI agents connect across email, cloud, and collaboration tools. Over 80 of the Fortune 100, 10,000 large enterprises, and millions of smaller organizations trust Proofpoint to stop threats, prevent data loss, and build resilience across their people and AI workflows. Our mission is simple: safeguard the digital world and empower people to work securely and confidently.

Join us in our pursuit to defend data and protect people.

Proofpoint is building the next generation of AI-powered security systems to protect organizations from rapidly evolving threats. We are looking for a highly skilled AI Engineer to help design and build production-grade agentic AI systems that power intelligent security workflows s role is focused on developing and deploying autonomous agents that are reliable, composable, cost-efficient, and capable of operating in real-world, high-throughput security environments.

You will work closely with security researchers, platform engineers, and product teams to turn cutting-edge agentic AI techniques into robust, automated detection and response capabilities used in production. If you enjoy architecting multi-agent systems, optimizing for reliability and cost, orchestrating tool-using LLMs, and building observable pipelines — while solving difficult security problems — we'd love to talk to you.

Location:

Hyderabad, A.P., India Athens, Greece Sunnyvale, CA, USA

Design, build, evaluate, and deploy autonomous AI agents and multi-agent systems for security detection and response use cases

Build reliable, cost-efficient agentic pipelines optimized for latency, accuracy, operational stability, and tool-use fidelity

Develop orchestration frameworks for LLM-based agents with tool use, memory, planning, and multi-step reasoning

Experiment with techniques such as ReAct, chain-of-thought prompting, structured output, retrieval-augmented generation (RAG), and agentic memory architectures Improve agent task completion quality while minimizing hallucination, failure modes, and unnecessary LLM calls

Build scalable agent infrastructure and production-grade agentic workflow pipelines Partner with security researchers to transform detection and triage logic into agent-powered automated workflows

Measure and optimize agent performance across task success rate, cost-per-run, latency, and reliability

Contribute to evaluation frameworks, ground-truth datasets, and agent benchmarking workflows Monitor production agents and continuously improve robustness, observability, and failure recovery

Experience 2+ years of experience in AI Engineering, Applied AI, or ML Engineering

Strong experience building and deploying agentic AI systems or LLM-powered applications in production Experience designing multi-step, tool-using agents using frameworks such as Lang Graph, Auto Gen, CrewAI, or custom orchestration

Strong Python engineering skills Experience working with LLM APIs (OpenAI, Anthropic, Gemini) and open-source models via Hugging Face or similar

Experience implementing RAG pipelines, vector stores, and semantic retrieval systems (e.g., FAISS, Weaviate, Pinecone, pgvector)

Solid understanding of agent evaluation, prompt engineering, structured output parsing, and tool/function calling

Experience deploying agentic systems in cloud or containerized environments

Strong software engineering fundamentals and production mindset

Experience with security domains such as email security, threat intelligence, phishing detection, or SOC workflows

Familiarity with fine-tuning or adapting LLMs for domain-specific agent behaviors

Experience with observability tooling for LLM systems (e.g., Lang Smith, Helicone, Open Telemetry for AI)

Knowledge of agent safety, guardrails, and human-in-the-loop design patterns

Exposure to agentic memory systems (episodic, semantic, working memory) and long-horizon task planning

Protecting people is at the heart of our award-winning lineup of cybersecurity solutions, and the people who work here are the key to our…