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Software Development Engineer

Job in Frisco, Collin County, Texas, 75034, USA
Listing for: Trellix
Full Time position
Listed on 2026-07-13
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Backend Developer, DevOps, Cloud Engineer - Software
Salary/Wage Range or Industry Benchmark: 110000 - 140000 USD Yearly USD 110000.00 140000.00 YEAR
Job Description & How to Apply Below

Software Development Engineer – Agentic AI

Software Development Engineer – Agentic AI

About Trellix Trellix is a global company redefining the future of cybersecurity. The company’s comprehensive, open, and native cybersecurity platform helps organizations confronted by today’s most advanced threats gain confidence in the protection and resilience of their operations. Trellix, along with an extensive partner ecosystem, accelerates technology innovation through artificial intelligence, automation, and analytics to empower over 50,000 business and government customers with responsibly architected security.

More at  .

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.

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 Open Telemetry, 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 (Git Hub 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 / Type Script for tooling and API integration layers (preferred).

Databases:
Knowledge Graphs, including Nebula Graph or equivalent (preferred), Vector Databases, including Qdrant or equivalent (preferred), embedding…

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