Forward Deployed Engineer
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Job Description
Engineer responsible for implementing customer-focused AI risk solutions in fintech. Collaborating closely with clients to ensure integrated solutions meet risk management needs.
Responsibilities:
- Lead technical discovery with prospective customers, uncovering integration requirements, data architecture constraints, and risk decisioning objectives across onboarding, fraud, credit, and compliance use cases.
- Own the end-to-end technical implementation for new customers partnering with the Technical Account Manager, Account Executive and Sales Engineer, from kickoff through go-live: integration design, data mapping, agent workflow configuration, and UAT support.
- Design and deploy multi-step agentic workflows for customers — automating onboarding, fraud investigation, credit decisioning, case management, alert triage, and compliance monitoring end to end.
- Synthesize patterns across customer deployments and deliver structured product feedback, feature requests, and gap analyses to Oscilar's product and engineering teams.
Requirements:
- 5+ years in a technical customer-facing role such as Solutions Engineer, Solutions Architect, Technical Account Manager, or Forward Deployed Engineer in an Agentic AI company, B2B SaaS or fintech environment.
- Demonstrated track record of owning technical implementations end-to-end, from initial scoping through production go-live.
- Experience working with financial services customers — ideally across fraud, credit risk, AML/compliance, or payments — is strongly preferred.
- Prior experience deploying or configuring AI/ML platforms, agentic workflows, or LLM-powered systems in an enterprise context is a significant advantage.
- Strong command of REST APIs, webhooks, and data integration patterns (ETL, event streaming, Snowflake and other cloud data warehouses).
- Comfortable reading and writing SQL; able to navigate and interpret data pipelines, model outputs, and feature schemas.
- Fluency with JSON, data schemas, and enterprise integration architectures.
- Hands-on experience using LLMs (Claude, GPT, or similar) for practical problem-solving — including analyzing logs, debugging agent behavior, and structuring prompts for workflow automation.
- Deep hands-on fluency with LLMs — structuring prompts for workflow automation, iteratively refining based on outputs, debugging agent behavior, and translating ambiguous business requirements into precise AI task instructions. You've built things with Claude or GPT, not just used the chat interface.
- Demonstrated ability to craft effective LLM prompts — including prompt structuring, iterative refinement, and translating business requirements into AI task instructions.
- Ability to configure and troubleshoot complex software platforms at depth — this role requires engineering-level thinking and platform mastery, not production software development.
- Experience with API testing and prototyping tools (Postman, etc.); ability to independently build and validate lightweight integrations and agent workflow configurations.
- Familiarity with cloud platforms (AWS, GCP, Azure) and comfort operating within cloud-native environments.
Benefits:
- Compensation: Competitive salary and equity packages
- Development: Accelerated professional growth alongside industry leaders.
- Impact: Make the digital economy safer by protecting online transactions.
- Be part of a global, high-growth AI startup tackling real-world challenges in fraud and risk.
- Remote-first, collaborative culture with teammates in the US, Poland, and beyond.
- Opportunity to develop deep expertise in risk decisioning and customer support at scale.
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