Senior Software Engineer, AI/LLM

Location:

This position is remote within the United States or Canada.

Role Summary:

Censys is seeking a highly experienced Senior Software Engineer focused on AI and LLMs. You will work as part of our platform team building high impact product features and workflows fuelling our Censys platform experiences. You'll work closely with product and across engineering teams dedicated to understanding customers’ business needs and to translate complex requirements into well-architected AI enabled interactions within our platform. By fostering a culture of learning and cross collaboration, we aim to build secure infrastructures tailored to our customers' unique requirements. You’ll help shape how the world sees the Internet building AI-powered experiences that make Censys platform smarter, sharper and more intuitive to explore every signal and threat.

What You’ll Do:

• Rapidly prototype and deploy AI-powered features to enhance search, improve recommendations, and automate workflows across the Censys Platform.
• Apply machine learning to streamline workflows, personalize experiences, and surface critical insights
• Develop and fine-tune LLMs and RAG pipelines to reason over Internet-scale data, summarize findings, and deliver context-aware insights.
• Build, scale and maintain AI-driven analytics and automation systems helping users make faster, data-backed decisions
• Collaborate with frontend, product, and data engineering teams to integrate AI-native experiences that feel seamless, intuitive, and secure
• Continuously evaluate and improve model performance through RAGAS, LangSmith, and automated regression testing frameworks

What You’ll Bring:

• 7+ years of software engineering experience, including 2+ years building and scaling AI-powered user-facing features
• Strong proficiency in Python for backend and API services development
• Familiarity with RAG evaluation frameworks (e.g., RAGAS, LangSmith) and designing regression testing for LLM pipelines
• Ability to rapidly prototype, validate and refine AI features in a fast-paced, experiment-driven environment
• Prior knowledge in prompt engineering improving LLM accuracy, reasoning and consistency
• Understanding secure and responsible AI practices, implementing guardrails and safety checks to prevent misuse or data exposure

• Hands-on experience with CI/CD pipelines, test automation, and deployment best practices for AI applications.
• Strong cross-team collaboration to ensure AI capabilities elevate the overall user experience on the Platform

What Sets You Apart:

• Leveraging AI tools as a force multiplier to code smarter, iterate faster boosting productivity and improving product capabilities

• Advanced knowledge of AI/ML architectures, model evaluation, and applied deep learning
• Experience with retrieval-augmented generation (RAG), vector search, and LLM fine-tuning
• Understanding of embedding models and AI-driven analytics.
• Proven ability to optimize AI models for low-latency, real-time interactions in browser or frontend environments
• Experience deploying secure AI systems in cybersecurity or other sensitive data domains
• Strong understanding of Kubernetes networking, scaling, and monitoring for AI-driven services

For high cost of living areas (San Francisco Bay, New York City, and Seattle), the expected salary range for this position is $188,000 USD - $225,000 USD, plus bonus eligibility and equity.

For all other locations, the expected salary range for this position is $159,000 USD - $192,000 USD, plus bonus eligibility and equity.

Our roots are in Ann Arbor, Michigan. Our innovation is fueled by the team’s global perspectives. For this role, we are open to remote employees across the continental US or Canada.

In addition to our great compensation package, our benefits are effective on day one and include but are not limited to: 401k match, health, vision, dental, and more! Please see our careers page for more details.

Note to external recruiters/agencies: We are not currently engaging with third-party agencies for this role and will not accept unsolicited outreach. We kindly ask that you do not submit resumes or candidate profiles to our team.