Recorded FutureRemote
Senior Software Engineer
United States of America
Full Time
4 hours ago
$129,000 - $194,000 USD
H1B Sponsor Likely
Key skills
Software engineeringDistributed systemsPythonAI/ML applicationsCloud platformsAWSGCPAzureEngineering workflow toolsJiraGitAI Agent paradigmLarge Language ModelsPrompt engineeringAgentic loop designRetrieval-augmented generationCybersecurityPragmatic mindsetCuriosityAIMLRAGAgenticPerformance OptimizationAgileSDLCMentoring
About this role
Recorded Future is the world’s most advanced intelligence company, serving over 1,900 clients globally. The Senior Software Engineer will design, build, and deploy AI Agentic systems that process and enrich intelligence data autonomously, while mentoring junior engineers and driving engineering excellence.
Responsibilities:
- 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
Requirements:
- Strong technical background in software engineering, with 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) and engineering workflow tools (e.g., Jira, Git)
- Deep understanding of the AI Agent paradigm, including hands-on experience with LLMs, prompt engineering, agentic loop design, and 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 strong focus on delivering measurable, high-impact results
- A keen curiosity for cybersecurity and finding innovative ways to apply AI Agent technology to keep our clients safe