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.  

Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. The listed range is a guideline, and the range for this role may be modified. For roles that are available to be filled remotely, the pay range is localized according to employee work location by a factor of between 83% and 100% of range. Please discuss your specific work location with your recruiter for more information.

Censys offers a competitive benefits package to employees, including equity, health, dental & vision coverage, retirement with company contribution, parental leave, mental health & wellness benefits, flexible PTO, and a professional development stipend. Censys also offers sales incentive pay for most sales roles and an annual bonus plan for eligible non-sales roles. Censys’s compensation and benefits are subject to change and may be modified in the future. Please see our careers page for more details.

We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to your recruiter. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities.

To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates to keep their cameras on during video interviews. Additionally, if hired, we would love to bring you to our HQ in Ann Arbor for in-person onboarding.

By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with our Censys Privacy Policy.

Our roots are in Ann Arbor, Michigan and our innovation is fueled by the team’s global perspectives. For this role, we are open to remote employees across the continental US. We value diversity and are committed to creating an inclusive environment for all employees. Censys is an equal opportunity employer.