Staff Software Engineer – GenAI

Oscilar

Staff Software Engineer focusing on generative AI for backend services at Oscilar. Collaborating with cross-functional teams to optimize AI models and system performance.

Posted 7/29/2026full-timeRemote • 🇺🇸 United StatesLead💰 $197,500 - $297,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing scalable backend services utilizing generative AI models, with a strong focus on performance optimization and system stability. Proficient in deploying and maintaining AI models in production environments, leveraging cloud technologies and containerization.

Highest-signal resume keywords

Backend Software DevelopmentGenerative AI ModelsPython or JavaAWS TechnologiesCI/CD Tools

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Backend Software DevelopmentGenerative AI ModelsPythonJavaAWSContainerizationMicroservices ArchitectureRESTful APIsCI/CDDistributed Data Systems

Soft Skills

Problem-Solving

Tools & Technologies

DockerKubernetesJenkinsGitMavenGradleKafkaClickHouseGCP

Industry Keywords

AI/MLHigh-Scale ServicesLow-Latency SolutionsAgile DevelopmentSystem Architecture

Tech Stack

Tools & technologies

AWSCloudDockerGoogle Cloud PlatformGradleJavaJenkinsKafkaKubernetesMavenMicroservicesPython

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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