Senior Software Engineer

🔥 2 minutes ago

🇬🇪 Georgia – Remote

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 10%

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CeriFi

201 - 500 employees

💼 Consulting

🏥 Healthcare

⚖️ Legal

Consulting • Healthcare • Legal

CeriFi is a company focused on professional education and training across various fields, including financial planning, tax and accounting, insurance, financial crimes, and legal education. With brands such as West LegalEdcenter, CheckPoint Learning, Bionic Turtle, Mark Meldrum Financial Planning, Dalton Education, and others under its umbrella, CeriFi offers continuing education and certification programs. The company emphasizes tech and innovation to enhance its educational platforms and services.

📋 Description

• Design, build, and operate production services for customers across backend, infrastructure, and integrations • Lead technical projects from ambiguity through scoping, design, implementation, deployment, measurement, and iteration • Use AI coding tools to draft, refactor, explore, and review while remaining accountable for shipped code • Build and integrate AI-powered product features including agent workflows, LLM-backed APIs, retrieval systems, and evaluation pipelines • Review code rigorously, including AI-generated code, and establish safe standards for incorporating AI output • Debug difficult production problems by tracing systems, forming hypotheses, verifying them, and fixing root causes • Mentor engineers on judgment, taste, verification, and evaluating AI suggestions • Contribute to architectural decisions and long-term technical strategy

🎯 Requirements

• 7+ years of professional software engineering experience building and operating production systems • Strong fundamentals in data structures, concurrency, distributed systems, databases, networking, and security • Experience with production operations, observability, safe change rollouts, and incident debugging • Strong code review judgment, including identifying bugs, security issues, and architectural problems in AI-generated code • Clear technical writing and ability to explain complex problems plainly • Fluent daily use of AI coding tools such as Claude Code, Copilot, or Cursor • Experience with LLM-backed systems, including at least one of: agent frameworks, tool/function calling, RAG pipelines, prompt evaluation, or model fine-tuning • Understanding of LLM and agent production failure modes, including hallucination, drift, prompt injection, latency variance, and cost blowups • Experience measuring model and agent quality with metrics, evaluation harnesses, regression suites, or human-in-the-loop review • Ownership, sound technical judgment, communication, and mentorship • Nice to have, not required: production agent systems, open-source AI tooling or agent framework contributions, EdTech experience, or broader technical leadership

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