About the job
Join Us in Shaping Trust in the Age of AI
At Oscilar, we are at the forefront of developing the most sophisticated AI Risk Decisioning™ Platform. Our innovative solutions empower banks, fintechs, and digital enterprises to effectively manage fraud, credit, and compliance risks through advanced AI technology. If you are enthusiastic about tackling intricate challenges and enhancing online safety for all, this is your opportunity.
Why Choose Oscilar?
Mission-Driven Teams: Collaborate with experienced professionals from Meta, Uber, Citi, and Confluent, all working together to create a safer digital landscape.
Ownership and Impact: Embrace a culture of extreme ownership where you can take initiative, act swiftly, and make impactful decisions aligned with our mission.
Innovate at the Cutting Edge: Your contributions will revolutionize how modern finance detects fraud and mitigates risks.
Job Overview
We are in the process of developing a groundbreaking AI Agent Platform designed to enhance our mission — creating intelligent, autonomous systems that proactively identify insights, respond to risk events, and learn continuously from vast amounts of data.
We seek engineers who are quick thinkers, proficient prototypes, and passionate about solving complex problems at the intersection of AI, full-stack development, and risk intelligence.
Key Responsibilities
Design and construct full-stack systems that power Oscilar’s next-generation AI agents, encompassing backend APIs, data pipelines, and interactive frontends.
Utilize AWS Lambda and Python to implement serverless architectures for high-volume, event-driven processing of risk signals and fraud patterns.
Explore agentic frameworks, LLM-driven automation, and reasoning systems to tackle challenges in fraud detection, risk scoring, and Anti-Money Laundering (AML).
Work closely with founders and product leaders to define the architecture and roadmap for our agentic platform.
Act swiftly to ship Minimum Viable Products (MVPs), validate hypotheses using real-time data, and iterate on a weekly basis.
Leverage practical AI techniques, including GenAI, embeddings, and retrieval pipelines for data storytelling, graph reasoning, and case automation.
Qualifications
A minimum of 4 years of experience in full-stack engineering or related fields.
Proficiency in backend technologies, database management, and frontend frameworks.
Experience with cloud services, particularly AWS, and serverless architecture.
Strong problem-solving skills and the ability to thrive in a fast-paced environment.

