Oscilar Logo

Oscilar

Staff Software Engineer - GenAI

Reposted 4 Days Ago
Remote
Hiring Remotely in USA
198K-298K Annually
Senior level
Remote
Hiring Remotely in USA
198K-298K Annually
Senior level
Design and build AI-powered backend services, optimizing performance and scalability while collaborating with cross-functional teams to integrate generative AI models.
The summary above was generated by AI

Shape the future of trust in the age of AI
At Oscilar, we're building the most advanced AI Risk Decisioning™ Platform. Banks, fintechs, and digitally native organizations rely on us to manage their fraud, credit, and compliance risk with the power of AI. If you're passionate about solving complex problems and making the internet safer for everyone, this is your place.

Why join us:
  • Mission-driven teams: Work alongside industry veterans from Meta, Uber, Citi, and Confluent, all united by a shared goal to make the digital world safer.

  • Ownership and impact: We believe in extreme ownership. You'll be empowered to take responsibility, move fast, and make decisions that drive our mission forward.

  • Innovate at the cutting edge: Your work will shape how modern finance detects fraud and manages risk.

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

Similar Jobs

4 Days Ago
Remote or Hybrid
134K-228K Annually
Expert/Leader
134K-228K Annually
Expert/Leader
Automotive • Hardware • Internet of Things • Mobile • Software • App development • PropTech
Architect and build LLM-based, agentic AI systems and production pipelines (RAG, orchestration, memory, tool integration). Lead cross-functional delivery across frontend, backend, and ML, drive tooling/infrastructure choices, mentor engineers, and ensure scalable, observable, production-ready GenAI features.
Top Skills: AutogenAWSAzureCamelFaissGCPGrpcLangchainLanggraphLlamaindexLlmsMcpMlopsNode.jsPineconePythonRagRasaRestVector DatabasesWeaviate
5 Minutes Ago
In-Office or Remote
73K-130K Annually
Senior level
73K-130K Annually
Senior level
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Perform Facets configuration and data analysis to support healthcare business needs: load/update industry codes, design and test configurations, troubleshoot claims/helpdesk issues, run UAT, document changes, mentor staff, work in Agile to deliver solutions, and liaise with business stakeholders while ensuring HIPAA compliance.
Top Skills: Configuration ManagementExcelFacetsPdmPlmRallySQL
5 Minutes Ago
In-Office or Remote
29-52 Hourly
Mid level
29-52 Hourly
Mid level
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Perform clinical coverage reviews by interpreting state/federal mandates and benefit language; communicate coverage and reimbursement determinations to providers and members; obtain additional clinical information; coordinate with care facilities; serve as a resource and make autonomous decisions impacting member care.
Top Skills: Milliman Care Guidelines

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account