Enterprise - US, Texas, Frisco, United States of America · hace 3 semanas
Diseñar, construir y operar sistemas agénticos de IA generativa en producción, incluidos flujos multiagente para operaciones de seguridad autónomas, y encargarse de su fiabilidad y observabilidad.
Job Title: Software Development Engineer – Agentic AI About Trellix Trellix is a global cybersecurity leader helping organizations build cyber resilience for the AI era. Combining AI-native security, operational threat intelligence, and automated detection and response, Trellix provides defense-grade protection at machine speed across on-premises, air-gapped, operational technology, hybrid, and cloud environments. Trellix helps customers anticipate threats, scale effective security operations, maintain business continuity, and adapt their security posture for the modern threat landscape. Working with a broad partner ecosystem and global intelligence collaborators, Trellix helps strengthen the collective defense against cybercriminals and state-sponsored attacks. At Trellix, we empower professionals at all career stages to expand their technical expertise, lead strategic initiatives, and make a tangible global impact. Whether you are an industry pioneer or an emerging specialist, Trellix provides the tools and opportunities to enhance and expand your skill set. Join our mission to scale AI-driven cyber defense alongside an AI-accelerated threat landscape, and help build a safer, more resilient future. More at https://trellix.com. Role Overview: Join our innovative team at Trellix, where you'll lead the design and development of a cutting-edge generative AI platform powering advanced AI capabilities across the entire Trellix security portfolio. This isn't prototype work. You'll be building and operating production agentic systems deployed in federal environments, enabling autonomous SOC workflows, multi-agent orchestration, and seamless AI integration across our security products. We're looking for a highly skilled Software Development Engineer with a passion for building robust, scalable, and secure AI solutions that operate at real-world scale. This role is hybrid in nature with the Engineer able to commute into the Frico, TX office 3-4 days/week. About the Role: Design and Develop: Lead the design and development of our generative AI platform, driving core functionality, agentic workflows, and platform-level features from concept through production. End-to-End Ownership: Take full ownership of features and functions, from initial design and development through rigorous testing, automation, and ongoing operational health. Agent Workflow Development: Build, iterate on, and harden multi-agent pipelines, including tool use, inter-agent coordination, and autonomous decision workflows for security operations. Deliver High-Quality Solutions: Ensure solutions are delivered on time, within budget, and to the highest quality standards, meeting project goals and customer commitments. Ensure Resilience & Security: Proactively implement best practices to ensure applications are highly resilient, secure, and performant, with particular attention to the sensitivity of security operations data. Observability & Telemetry: Design and implement instrumentation using OpenTelemetry, contribute to operational dashboards, and surface platform health and usage insights to engineering leadership and stakeholders. Technical Analysis & Documentation: Analyze feature requirements and produce detailed design documentation, architectural decision records, and async-friendly technical specs. Production Reliability & Incident Response: Own production issues end-to-end, including triage, root cause analysis, post-mortems, and SLA commitments, for a platform operating in high-stakes environments. About You: Experience: 5+ years of professional experience in Python application software development, with demonstrated experience building and operating production AI or platform systems. Operating Systems: Linux proficiency is a must Shell scripting (preferred) Core Development Skills: Excellent development and debugging skills in Python Strong grasp of data structures and design patterns Proficiency with REST and async Web APIs CI/CD pipeline experience (GitHub Actions or equivalent) Strong written communication for design docs and async collaboration Ability to operate with autonomy in a fast-moving, ambiguous environment AI/ML Knowledge: Hands-on experience with Large Language Models (LLMs) in production Langchain experience required, including building and operating stateful multi-agent workflows Experience with prompt orchestration and chain composition Familiarity with Agentic AI concepts and patterns (ReACT, chain-of-thought, tool use, Deep Agents) Experience deploying and operating vLLM for self-hosted inference Familiarity with MCP (Model Context Protocol) for agentic tool integration Frameworks & Technologies: FastAPI (preferred) Node.js / TypeScript for tooling and API integration layers (preferred) Databases: Postgres (preferred) Knowledge Graphs, including NebulaGraph or equivalent (preferred) Vector Databases, including Qdrant or equivalent (preferred) Embedding pipeline experience including chunking strategies and retrieval tuning (preferred) Services & Tools: Gunicorn or Uvicorn OpenTelemetry (OTEL) instrumentation Redis (preferred) Langfuse or LangSmith for agent observability (preferred) Kubernetes (preferred) AWS: RDS, EKS, Elasticache, Bedrock (preferred) Domain Knowledge: Working knowledge of threat detection, EDR telemetry, SOC workflows, or SIEM platforms strongly preferred Understanding of Security Incident and Event Management (SIEM) and Incident Response a plus Soft Skills: Excellent communication and collaboration skills with the ability to work effectively across engineering, product, and security research teams Ability to communicate technical decisions and tradeoffs clearly to non-engineering stakeholders Strong written communication for design documentation and distributed team collaboration Comfortable operating with high autonomy and minimal oversight in a fast-moving, ambiguous environment Company Benefits and Perks: We believe that the best solutions are developed by teams who embrace each other's unique experiences, skills, and abilities. We work hard to create a dynamic workforce where we encourage everyone to bring their authentic selves to work every day. We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees. Retirement Plans Medical, Dental and Vision Coverage Paid Time Off Paid Parental Leave Support for Community Involvement We're serious about our commitment to a workplace where everyone can thrive and contribute to our industry-leading products and customer support, which is why we prohibit discrimination and harassment based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status. Our Commitment to You: At Trellix, we are committed to creating a safe and trustworthy experience for our customers, employees, and candidates. Please be aware that fraudulent recruiting activity can occur through fake job postings or impersonated communications. Trellix conducts interviews through professional channels only and does not use text messages, instant messaging, or group chats for interviews. We will never request sensitive personal information—such as your date of birth, Social Security number, or national ID number—during the interview process. Trellix also does not require candidates to pay fees, purchase products or services, or process payments of any kind as part of the recruiting or hiring process. And Trellix will never keep any original work authorization documents that we may be required to review during the hiring process.
Publicada el 18 oct 2026
