Design and build Python-based backend services that power Satori’s core AI agent platform.
Integrate LLMs, vector search, and agent frameworks into scalable, cloud-native services.
Implement agent behaviors such as memory, context handling, reasoning workflows, alignment, guardrails, and multi-agent collaboration.
Deliver reliable, high-quality features that support rapid iteration and platform scaling.
Collaborate closely with product, applied AI, platform, and engineering teams across the organization.
Participate in architecture and design discussions, code reviews, and drive operational readiness through documentation and automation.
Mentor earlier-career software engineers with a team-first mentality.

Requirements

5+ years of experience developing production-grade software.
Strong Python experience and proven ability to build distributed, production-grade backend platforms or services.
Hands-on experience developing AI agents using common tech stacks (e.g. A2A), including memory, reasoning, workflow orchestration, tool use, and/or guardrail mechanisms.
Familiarity with Docker, cloud environments, and CI/CD pipelines.
Ability to thrive in a fast-paced, rapidly scaling environment.
Excellent cross-team collaborator with strong communication skills.
Experience integrating LLMs, RAG, or vector search into production systems (preferred).
Experience with agent safety, evaluation, or alignment techniques (preferred).
Background in enterprise SaaS or large-scale distributed systems (preferred).
Proficiency with AI-assisted development tools like Windsurf, Cursor, Claude Code, etc. (preferred).
Exposure to cybersecurity products or domains (preferred).

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Pythonbackend servicesAI agentsdistributed systemsmemoryreasoningworkflow orchestrationguardrail mechanismsDockerCI/CD

collaborationcommunicationmentoringteam-first mentality