Architect and implement the backend services that power multi-agent workflows.
Design scalable workflow engines and "human-in-the-loop" systems.
Create the integration layer between modern Python-based AI frameworks and Tenable’s robust JVM-based microservices architecture.
Implement verification layers, citations, and security guardrails to ensure agents operate deterministically and safely.
Build advanced Retrieval-Augmented Generation (RAG) pipelines and "Tool Use" capabilities.
Collaborate with researchers and product leads to define the roadmap for AI orchestration.

Requirements

B.S. or M.S. in Computer Science, Engineering, or a related field, or equivalent practical experience.
5+ years of software engineering experience (7+ for Staff level), with a strong background in building backend systems, APIs, and platforms.
Hands-on experience building AI agents and autonomous workflows using frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or Pydantic AI.
Strong programming skills in Python (essential for AI/ML ecosystems) with experience in, or a willingness to work with, JVM-based languages (Java, Kotlin, or Scala) for high-scale platform components.
Experience designing event-driven architectures, managing concurrency, and building fault-tolerant services (e.g., using Kafka, gRPC, REST).
Proficiency with Relational Databases (PostgreSQL) and experience with Vector Databases (e.g., Pinecone, Weaviate, Milvus) or search engines (Elasticsearch).
A self-starter who thrives in ambiguity and is passionate about taking AI from "prototype" to "production-grade."

Benefits

Applicant Tracking System Keywords

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

Hard Skills & Tools

PythonJVM-based languagesJavaKotlinScalaAI agentsautonomous workflowsevent-driven architecturesfault-tolerant servicesRelational Databases

Soft Skills

self-starterthrive in ambiguitycollaboration