Recorded Future
Cybersecurity
SeniorSoftwareEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Software Engineer at Recorded Future. Skills: AI Agentic systems, LLMs, autonomous agents, distributed systems, Python. design, build, and deploy the next generation of AI Agentic systems. process and enrich intelligence data autonomously”
What You'll Achieve.
delivering measurable, high-impact results; keep our clients safe
Industry & Context.
mandatory in-person interview or a live, scheduled video conference with the hiring manager
What They're Looking For.
Must Have
technical background in software engineering, deep expertise in building and scaling distributed systems, Expert-level proficiency in Python and related ecosystem for production AI/ML applications, Proven track record as a senior individual contributor, designing and delivering complex software solutions, Technical skills with modern cloud platforms (e. g. , AWS, GCP, Azure), engineering workflow tools (e. g. , Jira, Git), Deep understanding of the AI Agent paradigm, hands-on experience with LLMs, prompt engineering, agentic loop design, retrieval-augmented generation (RAG), Experience driving coordinated action between cross-functional teams (product, research, stakeholders) working from different locations around the world, A pragmatic mindset and a focus on delivering measurable, high-impact results, A keen curiosity for cybersecurity
Nice to Have
AI Agentic tooling, ML applications
What You'll Do.
and deploy the next generation of AI Agentic systems
process and enrich intelligence data autonomously
and deploy highly reliable and scalable software systems
specializing in AI Agentic tooling and ML applications
Serve as a technical leader in the implementation of frameworks and best practices for creating
and safely deploying autonomous AI agents in a production environment
Collaborate with engineering managers and cross-functional teams to integrate AI Agent solutions across the platform
Drive engineering excellence by conducting rigorous code reviews
Lead the technical design and architectural discussions for new features and components within the AI Tooling roadmap
Manage project tasks through an agile SDLC
How You'll Work.
Team & Collaboration
Collaborate with engineering managers and cross-functional teams; Experience driving coordinated action between cross-functional teams (product, research, stakeholders) working from different locations around the world
Process & Methodology
Manage project tasks through an agile SDLC
Full Job Description
With 1,000+ intelligence professionals serving over 1,900 clients worldwide, Recorded Future is the world’s most advanced, and largest, intelligence company! Recorded Future provides intelligence that 1,500+ clients use to defend their people and networks from cybersecurity threats. Our intelligence data provides analytics for many security and risk management needs. This data is derived from technical data, threat actor monitoring, social media, open sources, and other data sources. In this role, your mission is to design, build, and deploy the next generation of AI Agentic systems that process and enrich this intelligence data autonomously. In this Senior Software Engineer role, you will be a key individual contributor, driving the development of resilient, scalable software systems focused on leveraging Large Language Models (LLMs) and autonomous agents for data processing, analysis, and threat detection. You will be responsible for building sophisticated, production-grade applications that enrich our threat intelligence, and you will mentor junior engineers, fostering technical excellence and best practices. What You’ll Do: Design, develop, and deploy highly reliable and scalable software systems, specializing in AI Agentic tooling and ML applications. Serve as a technical leader in the implementation of frameworks and best practices for creating, evaluating, and safely deploying autonomous AI agents in a production environment. Collaborate with engineering managers and cross-functional teams to integrate AI Agent solutions across the platform. Drive engineering excellence by conducting rigorous code reviews, focusing on code quality, performance optimization, and operational maturity. Lead the technical design and architectural discussions for new features and components within the AI Tooling roadmap. Manage project tasks through an agile SDLC, ensuring timely delivery and high-quality results. What You’ll Bring: Strong technical background in software engineer
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