Oscilar

About Oscilar

AI-powered risk management for smarter decisions

🏢 Finance, Tech👥 51-250📅 Founded 2021📍 Palo Alto, California, United States

Key Highlights

  • Headquartered in Palo Alto, California
  • Specializes in AI risk decisioning and fraud prevention
  • Supports businesses with onboarding and compliance monitoring
  • Team size of 51-250 employees

Oscilar is an AI-driven risk decisioning platform headquartered in Palo Alto, California. The company specializes in streamlining risk management workflows for businesses by integrating onboarding, fraud prevention, credit assessment, and compliance monitoring into a single system. With a focus on m...

🎁 Benefits

Employees enjoy competitive salaries, equity options, flexible PTO, and a remote work policy that supports work-life balance. Additional benefits incl...

🌟 Culture

Oscilar fosters a culture of innovation and adaptability, emphasizing the importance of leveraging AI to stay ahead of evolving threats. The company v...

Skills & Technologies

Overview

Oscilar is hiring a Full-Stack Engineer for their AI Agent Platform to develop systems that enhance fraud detection and risk management. You'll work with AWS and Python to build scalable solutions. This position requires experience in full-stack development.

Job Description

Who you are

You have a strong background in full-stack development, with experience designing and building complex systems that integrate backend APIs and interactive frontends. Your expertise in AWS and Python allows you to implement serverless architectures that efficiently process high-scale data. You thrive in environments that challenge you to solve open-ended problems, particularly at the intersection of AI and risk intelligence. You are a proactive team player who enjoys collaborating with industry veterans and contributing to mission-driven projects.

You are familiar with AI technologies and have a keen interest in how they can be applied to enhance risk decisioning processes. Your ability to prototype quickly and iterate based on feedback makes you an asset in fast-paced development cycles. You understand the importance of creating secure and reliable systems that protect users and organizations from fraud and compliance risks. You are committed to continuous learning and professional development, eager to stay at the forefront of technological advancements in AI and full-stack engineering.

What you'll do

In this role, you will design and build full-stack systems that power Oscilar’s next-generation AI agents. You will be responsible for developing backend APIs and data pipelines that support the processing of risk signals and fraud patterns. Your work will involve implementing serverless architectures using AWS Lambda and Python, ensuring that the systems you create are scalable and efficient. You will experiment with agentic frameworks and LLM-driven automation to enhance the capabilities of the AI platform.

You will collaborate closely with cross-functional teams, including product managers and other engineers, to define requirements and deliver high-quality solutions. Your role will also involve troubleshooting and optimizing existing systems to improve performance and reliability. You will have the opportunity to mentor junior engineers and contribute to a culture of innovation and excellence within the team. As part of a mission-driven organization, your contributions will directly impact the safety and security of online transactions, making the internet a safer place for everyone.

What we offer

At Oscilar, we provide a family-friendly environment that values work-life balance, including an unlimited PTO policy. You will have access to unparalleled learning and professional development opportunities, allowing you to grow your skills and advance your career. Our culture emphasizes ownership and impact, empowering you to take responsibility for your work and make decisions that drive our mission forward. Join us in shaping the future of trust in the age of AI, and be part of a team that is dedicated to making a meaningful difference in the world of finance and risk management.

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