Software Development Engineer – Agentic AI

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.