Senior Software Engineer (AI/ML)

Who We Are Ontic provides software that helps corporate and government security teams identify threats, assess risk, and respond faster to keep people and organizations safe. Its AI-powered Connected Intelligence Platform unifies security operations and data into a centralized system of record, enabling organizations to conduct risk assessments, protect against workplace violence, and manage threats and incidents more efficiently. Fortune 500 companies and federal agencies rely on Ontic to support security programs such as executive protection, threat intelligence, and corporate investigations. Learn more at ontic.ai or follow us on LinkedIn .

Who You Are You are an early-to-mid career engineer who enjoys building real products—not just experimenting with models. You take ownership, ship features, and are comfortable working across backend systems and ML components. This is not a research role —we’re looking for someone who can translate ML capabilities into scalable, production-ready product features and integrate them seamlessly into our platform. You align with Ontic’s values: Do Good Above All, Raise the Bar, Lead with Empathy, Walk the Walk, Keep Moving What We’re Looking For Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related field 3.5–5 years of hands-on experience building and shipping ML-enabled or data-driven applications Strong programming skills in Java and Python Solid experience with Spring Framework / Spring Boot for building backend services Experience with ML frameworks such as PyTorch, LangChain , or similar Experience building backend services/APIs and integrating ML models into applications Familiarity with data pipelines and tools like Airflow, Spark, or similar Exposure to cloud platforms ( AWS, GCP, or Azure ) Basic understanding of MLOps practices (model deployment, monitoring, CI/CD) Experience with Docker (Kubernetes is a plus) Strong problem-solving ability and willingness to learn and adapt quickly Good communication and collaboration skills Key

Responsibilities Build and ship ML-powered product features that deliver real customer value Develop and maintain backend services using Java (Spring Boot) and Python Integrate ML capabilities into existing backend systems and microservices architecture Work on data pipelines and model workflows from ingestion to inference Collaborate with senior engineers to design scalable and reliable systems Deploy and monitor models in production, ensuring performance and stability Troubleshoot issues across the stack (data, model, and backend systems) Contribute to code quality, testing, and documentation standards Participate in system design discussions and cross-team collaboration Preferred