engineering
Posted Feb 2Senior Software Engineer - Agentic AI Platform
at Tenable
Remote
Responsibilities
- Build the Agentic Backbone: Architect and implement the backend services that power multi-agent workflows.
- Orchestration & Workflow Automation: Design scalable workflow engines and "human-in-the-loop" systems.
- Lead Technical Direction: Collaborate with researchers and product leads to define the roadmap for AI orchestration. Champion best practices for MLOps, agent evaluation, and system observability. What You’ll Need:
Requirements
- In this role, you will help design and implement the Agentic AI Platform , the orchestration layer and nervous system that enables autonomous agents to reason, plan, and execute complex security workflows across our Exposure Management ecosystem.
- You will build systems that allow AI agents to decompose complex user requests, manage state, and execute tasks across distributed microservices.
- Bridge AI & Enterprise Infrastructure: Create the integration layer between modern Python-based AI frameworks and Tenable’s robust JVM-based microservices architecture.
- B.S. or M.S. in Computer Science, Engineering, or a related field, or equivalent practical experience.
- experience (7+ for Staff level), with a strong background in building backend systems, APIs, and platforms.
- Agentic AI Expertise: Hands-on
- experience building AI agents and autonomous workflows using frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or Pydantic AI .
- Polyglot Proficiency: 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).
- Data Fluency: Proficiency with Relational Databases (PostgreSQL) and
- experience with Vector Databases (e.g., Pinecone, Weaviate, Milvus) or search engines (Elasticsearch).
- Builder Mindset : A self-starter who thrives in ambiguity and is passionate about taking AI from "prototype" to "production-grade." And Ideally:
- Experience designing frameworks to evaluate agent performance (accuracy, latency, cost) and implementing CI/CD for AI workflows. Cloud Native: