Software Engineer III, Applied Agentic AI

🕒 6 days ago

🇦🇷 Argentina – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 11%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Proofpoint

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2002

🔒 Cybersecurity

🏢 Enterprise

🔐 Security

💰 $28M Series F on 2008-02

Cybersecurity • Enterprise • Security

Proofpoint is a company that specializes in cybersecurity solutions, particularly focused on protecting enterprise users from targeted phishing emails and other threats. Their Targeted Attack Protection (TAP) product is designed to provide advanced threat security by checking the safety of websites linked in emails. If a site is deemed safe, users are redirected to the original web destination; if not, access is blocked to prevent exposure to malware. Proofpoint ensures secure email communications within organizations.

📋 Description

• Build reference agentic applications on Proofpoint's platform, including how agents should be designed, evaluated, deployed and monitored. • Establish and document best practices for tool design and MCP integration, prompt and context management, memory and planning, cost/latency tradeoffs, failure recovery, and release readiness. • Design evaluation harnesses with task suites, baselines, and quality, cost and latency metrics, and use them to decide what ships. • Turn ambiguous questions into working prototypes quickly and present results to requesting teams. • Recommend when an approach should be abandoned. • Harden successful prototypes into reusable platform capabilities for product teams. • Partner with experienced engineers, security researchers and product tech leads. • Share agentic patterns across the company through demos, design reviews, written guides and pairing sessions. • Communicate and understand stakeholder requirements and participate in cross-team design discussions.

🎯 Requirements

• Bachelors or Master's Degree in Computer Science or a related field, or equivalent practical experience. • 3+ years of engineering experience, with recent hands-on work on LLM or agentic systems that went past the prototype stage. • Good understanding of the agentic development lifecycle and its components - agent runtimes, tool and MCP integration, prompt and context management, memory, planning, orchestration, evals, tracing, guardrails, rollout and rollback. • Solid Python; TypeScript/Node a plus. • Experience working with globally distributed teams. • Experience building and running services in a cloud microservices environment — containers, CI/CD, automated deployment; AWS a plus. • Comfortable diagnosing distributed systems from traces and metrics; OpenTelemetry (including GenAI semantic conventions) a plus. • An eval-first mindset: measurement comes with the build, not after it. • Genuine enthusiasm for frontier AI — experience experimenting with agent frameworks and LLM SDKs such as LangGraph, Anthropic/OpenAI Agents SDK, MCP, LangChain or similar. • Initiative and a bias toward shipping — ability to pick up ambiguous problems, get a PoC working and presented in days rather than quarters, and keep moving when the path isn't mapped out. • Fast learner with real curiosity — wanting to understand how the systems underneath work, not just how to call them. • Preferred: Use of AI coding tools (Claude Code, Codex or similar) and familiarity with agent interoperability protocols such as MCP and A2A. • Preferred: Building eval harnesses, benchmarks or ground-truth datasets. • Preferred: Producing developer-facing reference implementations, SDK samples, or internal enablement material. • Preferred: AG and semantic retrieval (vector stores, hybrid search), and working with both hosted APIs and open-weight models.

🏖️ Benefits

• Competitive compensation • Comprehensive benefits • Career success on your terms • Flexible work environment • Annual wellness and community outreach days • Always on recognition for your contributions • Global collaboration and networking opportunities