Senior SDE: Generative AI Platform & Multi-Agent Workflows

102 Musarubra US, LLC; Enterprise (TX); Hybrid; USD 150,000 - 190,000; Full time

Benefits offered by this job

Retirement Plans

Medical, Dental and Vision Coverage

Paid Time Off

Paid Parental Leave

Support for Community Involvement

Job summary

Trellix is seeking a Software Development Engineer – Agentic AI to design and implement a production-grade generative AI platform powering security products. The role is hybrid with the Frico, TX office 3-4 days per week, and requires building agentic workflows and secure, scalable systems used in real-world security operations.

You'll own features end-to-end—from design to testing and deployment—while ensuring reliability, observability, and collaboration with security research teams in a

Qualifications

• 5+ years of Python software development in production environments.
• Experience building/operating AI or platform systems in production.
• Linux proficiency and shell scripting.

Responsibilities

• Lead the design and development of a generative AI platform powering security products.
• Own features end-to-end from concept through production, testing, and operations.
• Build, iterate on multi-agent pipelines and inter-agent coordination for SOC workflows.
• Ensure resilience, security, and observability with robust instrumentation and dashboards.
• Own production incidents, triage, root-cause analysis and post-mortems.

Skills

Python

REST APIs

Async programming

CI/CD

Design docs

Autonomy

Communication

Tools

FastAPI

Node.js/TypeScript

Postgres

NebulaGraph

Qdrant

Redis

Langfuse/LangSmith

Kubernetes

AWS (RDS/EKS/ElastiCache/Bedrock)

Job description

Trellix is seeking a Software Development Engineer – Agentic AI to design and implement a production-grade generative AI platform powering security products. The role is hybrid with the Frico, TX office 3-4 days per week, and requires building agentic workflows and secure, scalable systems used in real-world security operations.

You'll own features end-to-end—from design to testing and deployment—while ensuring reliability, observability, and collaboration with security research teams in a