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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Development Engineer - Agentic AI - **Company:** Musarubra US LLC - **Location:** Frisco, TX, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Application Integration Architecture, Encodings, Cyber Security, Databases, Continuous Integration, Data Structures, Software Debugging, Software Design Documents, Software Design Patterns, Linux, Github, Graph Database, Intrusion Detection and Prevention, Python (Programming Language), PostgreSQL, Redis, Shell Script, Security Information and Event Management, Software Engineering, TypeScript, ReactJS, Amazon ElastiCache, Large Language Models, Multi-Agent Systems, Core Api, Fastapi, Kubernetes, Virtual Agents, Web Api - **Published:** August 18, 2026 - **Apply:** https://dejobs.org/x/x/626D203231F84577A5FE6D3626C71AB7/job/ ## About the Role * 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 ## Description 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 Frisco, 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. ## Related Videos - [Agentic AI: building autonomous systems for developers](https://www.wearedevelopers.com/videos/100034-agentic-ai-building-autonomous-systems-for-developers) - [Reducing LLM Calls with Vector Search Patterns - Raphael De Lio (Redis)](https://www.wearedevelopers.com/videos/1714-reducing-llm-calls-with-vector-search-patterns-raphael-de-lio-redis) - [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Building a Multi-Agent Orchestration Engine That Actually Follows the Rules](https://www.wearedevelopers.com/videos/100159-building-a-multi-agent-orchestration-engine-that-actually-follows-the-rules) - [Accelerating Authentication Architecture: Taking Passwordless to the Next Level](https://www.wearedevelopers.com/videos/733-accelerating-authentication-architecture-taking-passwordless-to-the-next-level) ## Related Articles - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [Everything a Developer Needs to Know About MCP with Neo4j](https://www.wearedevelopers.com/magazine/604-everything-a-developer-needs-to-know-about-mcp-with-neo4j)