Job Title: Staff Software Engineer - Generative AI

Company Name: Oscilar

Job Url: https://jobs.ashbyhq.com/oscilar/7985e0ac-bcf8-4417-98e1-82c2b2a466c9?utm_source=8PNPqvOGX9&jr_id=68cefa72846f0b04af67e246

Job Description: Job Description
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.

Responsibilities
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, with 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, with 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.

Benefits
Compensation: Competitive salary and equity packages, including a 401k

Flexibility: Remote-first culture — work from anywhere

Health: 100% Employer covered comprehensive health, dental, and vision insurance with a top tier plan for you and your dependents (US)

Balance: Unlimited PTO policy

Technical: AI First company; both Co-Founders are engineers at heart; and over 50% of the company is Engineering and Product

Culture: Family-Friendly environment; Regular team events and offsites

Development: Unparalleled learning and professional development opportunities

Impact: Making the internet safer by protecting online transactions

#LI-DS1