Sr. Applied AI Engineer
Core
Design, develop, and deploy advanced analytics, data exploitation, and predictive modeling solutions for a SaaS cybersecurity platform serving enterprises and the federal government.
Role type
Senior Applied AI Engineer (Individual Contributor)
Builds
SaaS security, risk, and compliance platform
Domain
Cybersecurity / Generative AI / Big Data
Deliverable
production ML models | product features
Required skills
Python, Microservices architecture, Machine Learning, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Vector databases, Prompt engineering, MLOps, Distributed data processing (Apache Spark/Flink), Docker, Agile/Scrum
Preferred skills
Data parsing and cleansing, Model fine-tuning and optimization, AI governance, DevSecOps
Technologies
Python, OpenAI, Anthropic, Gemini, GitHub, Jira, Docker, Apache Spark, Apache Flink
Responsibilities
Lead development of software programs and algorithms to cleanse and integrate large datasets; Design and deploy predictive models based on historical data; Integrate foundation models into production applications; Build reusable software components and microservices; Research and apply emerging data science principles to inform business decisions.
Seniority
Senior, hands-on IC with mentorship responsibilities