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Oscilar is seeking a highly experienced Staff Software Engineer - Generative AI to join our backend team. In this role, you will design, build, and maintain AI-powered services that form the core infrastructure of our SaaS platform. You will work closely with cross-functional teams, integrating cutting-edge generative AI models into scalable, low-latency backend systems that cater to our global enterprise clients. Your contributions will directly impact the performance, reliability, and innovation of our platform.
Job Responsibility:
Design and implement scalable backend services that leverage generative AI models to deliver high-performance, low-latency solutions
Collaborate with product, frontend, and QA teams to define technical requirements and ensure seamless integration of AI models with other platform components
Optimize AI models and backend services for maximum performance, scalability, and maintainability in a distributed environment
Identify and resolve bottlenecks related to AI processing and system performance, ensuring efficient resource utilization and system stability
Implement best practices for deploying, monitoring, and maintaining AI models in production, including CI/CD pipelines and model versioning
Proactively monitor the health and performance of AI-driven backend services, applying strategies to mitigate potential issues and ensure high availability
Requirements:
Bachelor’s or master’s degree in computer science, Software Engineering, or a related field
7+ years of backend software development experience
3+ years focusing on AI/ML, including hands-on experience with generative AI models (e.g., GPT, LLMs)
Strong expertise in Python or Java and AWS technologies
Deep knowledge of building and operating low-latency, high-scale services in distributed environments
Proven experience deploying and optimizing AI/ML models in production environments using containerization (Docker, Kubernetes) and cloud platforms (AWS, GCP)
Familiarity with microservices architecture, RESTful APIs, and security best practices in AI services
Experience with distributed data systems such as Kafka, ClickHouse, or similar technologies to manage large-scale AI workloads
Strong understanding of CI/CD tools (e.g., Jenkins, Git, Maven, Gradle) and agile development methodologies, with a focus on automating model deployment
Excellent problem-solving abilities, with a focus on AI model performance optimization, scalability, and system architecture
What we offer:
Competitive salary and equity packages, including a 401k
Remote-first culture — work from anywhere
100% Employer covered comprehensive health, dental, and vision insurance with a top tier plan for you and your dependents (US)
Unlimited PTO policy
AI First company
both Co-Founders are engineers at heart
and over 50% of the company is Engineering and Product
Family-Friendly environment
Regular team events and offsites
Unparalleled learning and professional development opportunities
Making the internet safer by protecting online transactions