6 дней назад
Software Engineer III, Applied Agentic AI
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Engineer III, Applied Agentic AI (Python/Agentic AI): Building agent runtimes, MCP access layers, evaluation tooling, and reference agentic applications for enterprise cybersecurity products with an accent on agent lifecycle design, evaluation, observability, and production readiness. Focus on developing reusable platform capabilities, measuring quality, cost, and latency, and solving reliability challenges in nondeterministic distributed systems.
Location: Cordoba, Argentina
Company
provides human- and agent-centric cybersecurity solutions that protect people, data, and AI agents across email, cloud, and collaboration tools.
What you will do
- Build reference agentic applications covering agent design, evaluation, deployment, and monitoring.
- Establish best practices for tool design, MCP integration, prompt and context management, memory, planning, recovery, and release readiness.
- Design evaluation harnesses with task suites, baselines, and quality, cost, and latency metrics.
- Prototype ambiguous ideas quickly, present findings, and recommend whether approaches should proceed or be abandoned.
- Harden successful prototypes into reusable platform capabilities for product teams.
- Collaborate with engineers, security researchers, and product technology leads through design discussions, demos, documentation, and pairing sessions.
Requirements
- Bachelor’s or master’s degree in computer science or a related field, or equivalent practical experience.
- 3+ years of engineering experience, including recent hands-on work with LLM or agentic systems beyond the prototype stage.
- Understanding of agent runtimes, tool and MCP integration, prompt and context management, memory, planning, orchestration, evaluations, tracing, guardrails, rollout, and rollback.
- Strong Python skills; experience with cloud microservices, containers, CI/CD, automated deployment, and distributed-system diagnostics.
- Experience working with globally distributed teams and communicating with stakeholders across cross-team design discussions.
- Hands-on experimentation with agent frameworks and LLM SDKs such as LangGraph, Anthropic or OpenAI Agents SDK, MCP, and LangChain or similar tools.
Nice to have
- TypeScript, Node, AWS, OpenTelemetry, and GenAI semantic conventions.
- AI coding tools such as Claude Code or Codex, and agent interoperability protocols such as MCP and A2A.
- Experience building evaluation harnesses, benchmarks, ground-truth datasets, developer-facing reference implementations, SDK samples, or enablement materials.
- Experience with semantic retrieval, vector stores, hybrid search, hosted APIs, and open-weight models.
Culture & Benefits
- Flexible work environment with global collaboration and networking opportunities.
- Competitive compensation and comprehensive benefits.
- Career development support and recognition for contributions.
- Annual wellness and community outreach days.
- Inclusive culture that welcomes people from diverse backgrounds, experiences, and perspectives.
Hiring process
- Submit an application with supporting information.
- Accommodation is available during the application or interview process upon request.
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