Recorded Future

Recorded Future

Recorded Future is the leading threat intelligence platform, empowering organizations to identify and mitigate threats across various domains with real-time, unbiased, and actionable intelligence.

Professional Services
251-1K
Founded 2009
$58M raised

Description

  • Design, develop, and deploy highly reliable and scalable software systems for AI Agentic tooling and ML applications.
  • Serve as a technical leader for frameworks and best practices to create, evaluate, and safely deploy autonomous AI agents in production.
  • Collaborate with engineering managers and cross-functional teams to integrate AI agent solutions across the platform.
  • Conduct rigorous code reviews with a focus on code quality, performance optimization, and operational maturity.
  • Lead technical design and architectural discussions for new features and components on the AI Tooling roadmap.
  • Manage project tasks through an agile SDLC to ensure timely delivery and high-quality results.
  • Mentor junior engineers and help foster technical excellence and best practices.
  • Build production-grade applications that enrich threat intelligence and support data processing, analysis, and threat detection.

Requirements

  • Expert-level proficiency in Python and the related ecosystem for production AI/ML applications.
  • Strong technical background in software engineering with deep expertise in building and scaling distributed systems.
  • Proven track record as a senior individual contributor designing and delivering complex software solutions.
  • Experience with modern cloud platforms such as AWS, GCP, or Azure.
  • Experience with engineering workflow tools such as Jira and Git.
  • Hands-on experience with LLMs, prompt engineering, agentic loop design, and retrieval-augmented generation (RAG).
  • Experience coordinating work across cross-functional teams, including product, research, and stakeholders in different locations worldwide.
  • A pragmatic mindset with a strong focus on delivering measurable, high-impact results.
  • Curiosity about cybersecurity and applying AI agent technology to improve client safety.

Benefits

  • Base salary range of $129,000 to $193,500.
  • Eligibility for incentive compensation.
  • Eligibility for equity.
  • Medical, dental, and vision insurance.
  • Life insurance.
  • 401(k) plan.
  • Accommodation support during the application process.
  • In-person or live scheduled video interview process for final-round candidates.

Interested in this position?

Apply directly on the company website

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