Multi-Agent System Development: Design and implement autonomous agent systems in Python using frameworks like AWS Strands Agents, with emphasis on orchestration, reasoning, and decision-making
MCP Integrations: Create Model Context Protocol integrations connecting Octo to security tools, developer environments, and AI coding assistants like Cursor and GitHub Copilot
LLM Prompt Engineering: Develop and refine prompt chains for real security use cases, including triage, prioritization, and remediation
RAG & Memory Systems: Build retrieval-augmented generation pipelines and memory architectures that give agents a persistent, contextual understanding of customer environments
End-to-End Ownership: Own features from design through production — build, test, deploy, and measure outcomes
Cross-Team Collaboration: Work closely with product, platform engineering, security research, and infrastructure teams to ensure we're building what customers need
Experimentation & Productization: Evaluate new AI/ML capabilities and determine how to bring them to production

5+ years of production software development experience with a track record of shipping high quality solutions
Hands-on experience building LLM-powered applications, RAG systems, or agentic AI
Strong Python proficiency with solid software engineering fundamentals
Understanding of distributed systems, API design, and cloud-native architectures
Experience with prompt engineering, embeddings, and vector databases
End-to-end software development skills, including frontend development, building pipelines, tests, monitoring, and scalability
Ability to balance engineering rigor with pragmatic delivery, embracing agentic coding tools like Claude Code to accelerate delivery
Clear communication skills — you surface problems early and propose solutions
What's Preferred:
Experience with agent frameworks (AWS Strands, LangGraph, AutoGen, CrewAI) in production environments
Familiarity with MCP (Model Context Protocol) and AI tool integration patterns
Background in application security, penetration testing, or security tooling
Experience with Go or C# for performance-critical components
Ability to build single-page applications using Vue.js
AWS experience with Bedrock and Kubernetes deployments
Familiarity with using GitLab for source control and CICD
Knowledge of evaluation methodologies for LLM systems (benchmarks, red-teaming, human feedback)
Experience building third-party product integrations using REST APIs
Contributions to open-source AI/ML projects

Health Insurance: We cover 100% of employee health care, vision, and dental premium costs. For dependents, we contribute 75% of healthcare and 50% vision/dental premium cost. Coverage is effective on your first day.
Employee Assistance Program: Emotional support counseling services — 24/7 life coaching, dependent care, elder care, financial & legal support, wellness coaching, new parent support, and more
Parental Leave: 16-week paid leave for birthing parent recovery; 4-week paid leave for non-birthing/bonding parent
401(k) Savings Plan: 50% up to 6% company match with 100% annual cliff vesting
Hybrid Flexible Schedule
Discretionary Time Off: Take time away from work when you need it (subject to manager approval)
Quarterly Thrive-Wellness Days: One extra day per quarter where the entire company takes a break to refresh and rejuvenate
Volunteering: 5 days of paid time off each year to participate in volunteer activities of your choice
Learning & Development Budget: Investment in your professional growth
Employee Recognition: Ongoing recognition & rewards in a culture that emphasizes personal and professional growth

Senior Software Engineer, Agentic AI

Key skills