
11 - 50 employees
Founded 2025
⚖️ Legal
💸 Finance
🛡️ Insurance
Legal • Finance • Insurance
Certum Legal Solutions is the managed-services and litigation-risk arm of Certum Group that delivers litigation finance, litigation insurance, and legal operations solutions to law firms, corporations, and investors. It provides non-recourse capital and claim monetization for plaintiffs and law firms, custom insurance products to transfer plaintiff- or defense-side litigation risk, and managed services/legal solutions to structure, manage, and monitor law firm operations and litigation investments. The firm emphasizes decades of legal, finance, and insurance expertise, works with AmLaw 100 firms, Fortune 500 companies, and investors, and is backed by Certum Group’s broader finance and insurance platforms.
🔥 1 minute ago
🇺🇸 United States – Remote
💵 $175k - $250k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
🤖 Machine Learning Engineer
👻 Ghost score 0%
Where this job comes from
Posted on Certum Legal Solutions's careers page, not through a job board
First seen by Remote Rocketship 1 minute ago

11 - 50 employees
Founded 2025
⚖️ Legal
💸 Finance
🛡️ Insurance
Legal • Finance • Insurance
Certum Legal Solutions is the managed-services and litigation-risk arm of Certum Group that delivers litigation finance, litigation insurance, and legal operations solutions to law firms, corporations, and investors. It provides non-recourse capital and claim monetization for plaintiffs and law firms, custom insurance products to transfer plaintiff- or defense-side litigation risk, and managed services/legal solutions to structure, manage, and monitor law firm operations and litigation investments. The firm emphasizes decades of legal, finance, and insurance expertise, works with AmLaw 100 firms, Fortune 500 companies, and investors, and is backed by Certum Group’s broader finance and insurance platforms.
• Own all AI/ML system design and implementation on the platform • Design and maintain prompt engineering infrastructure with versioned prompts, A/B evaluation, and regression testing • Build and iterate on structured extraction pipelines for complex, regulated documents, from initial parsing through multi-step reasoning and output validation • Design the agent orchestration framework powering task agents, QA agents, and operational agents • Establish AI quality standards, including confidence thresholds, human escalation triggers, and output validation • Partner with the Lead Backend Engineer on model abstraction layer design and API integration • Partner with domain experts on extraction schema design and workflow logic • Build production-grade structured data extraction pipelines for complex, multi-page domain-specific documents • Develop model abstraction, agent orchestration, QA agent, training/evaluation agent, and RAG systems
• 5+ years of software engineering experience with at least 2–3 years focused on production LLM application development • Expert Python • Strong API integration skills • Experience deploying AI systems at production scale • Deep familiarity with engineering reliable systems around Claude, GPT, or equivalent LLM APIs, not just calling them • Experience with agent frameworks (LangChain, LlamaIndex, or custom orchestration) • RAG architecture, including vector databases, embedding models, and retrieval optimization • Prompt engineering discipline, including systematic evaluation, regression testing, and version control for prompts • Experience handling sensitive or regulated data (HIPAA, FERPA, or similar)
• Deliverables and KPI-based performance bonuses (10-20% of Base Salary) • Medical, dental, and vision insurance • Unlimited PTO plus company holidays • 401(k) eligibility upon start with employer matching • Remote or hybrid work schedule
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