Staff Software Engineer – GenAI

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🔥 2 minutes ago

🇺🇸 United States – Remote

💵 $197.5k - $297.5k / year

⏰ Full Time

🔴 Lead

🧑‍💻 Full-stack Engineer

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Oscilar

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2021

💼 Consulting

🏥 Healthcare

⚖️ Legal

Consulting • Healthcare • Legal

Oscilar is a risk management platform that focuses on fraud defense, credit underwriting, onboarding risk, and AML compliance for financial institutions. Through its advanced AI Risk Decisioning™, Oscilar enables organizations to make faster and more intelligent risk decisions, monitor customer journeys, and ensure regulatory compliance seamlessly. Oscilar's platform provides comprehensive analytics and proactive detection capabilities, tailored to meet the unique risk needs of banks, fintechs, and credit unions.

📋 Description

• 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