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 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.co 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 Qualifications

• Experience with LLMs or AI-driven product features

• Familiarity with microservices architecture and distributed systems

• Exposure to Kubernetes or production-scale deployments

• Understanding of feature stores or data versioning

• Interest or experience in security or risk-related domains

What Sets This Role Apart

• Strong focus on engineering and product delivery, not research

• Opportunity to work on real-world, high-impact systems

• Deep integration of ML into a mature backend platform (Java/Spring ecosystem)
  

  Ontic Benefits & Perks

  • Competitive Salary

  • Medical Benefits

  • Internet Reimbursement

  • Home Office Stipend

  • Continued Education Stipend

  • Festive & Achievement Celebrations

  • Dynamic Office Environment

  Ontic is an equal opportunity employer. We are committed to a work environment that celebrates diversity. We do not discriminate against any individual based on race, color, sex, national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any factors protected by applicable law.

Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Ontic we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

Ontic prioritizes the full inclusion of qualified individuals, providing necessary accommodations for those with disabilities to perform essential job functions. If you need assistance during the application or interview process or job tasks, please contact us at recruitment@ontic.co or call (512) 572-7400