AI Engineer

🔥 9 hours ago

🇺🇸 United States – Remote

💵 $150k - $170k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 6%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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LawPro.ai

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2023

⚖️ Legal

💼 Consulting

🤖 Artificial Intelligence

Legal • Consulting • Artificial Intelligence

LawPro. ai is an AI-powered SaaS platform designed for personal injury law firms to automate medical record review, generate medical chronologies with citations, and draft citation-backed demand letters and injury claims. The product provides a natural-language case assistant to surface treatment dates, pain scores, and provider details, helping legal teams process records faster, increase case value, and scale operations. It is sold to law firms and legal teams as a B2B solution and emphasizes time savings, accuracy, and workflow integration.

📋 Description

• Own evaluation, selection, and continuous optimization of large language models and AI processes powering LawPro.ai’s data insights and analytics platform • Design and operate systematic evaluations of emerging LLMs across accuracy, relevancy, speed, and cost • Build and maintain evaluation frameworks and develop the internal EvalOps culture • Measure output accuracy, relevance, and faithfulness while reducing hallucinations in medical record summarization and legal document analysis • Monitor LLM deprecation timelines and replacement models • Own model transitions end to end, including production integration, behavior adjustments, and decommissioning stale prompts and endpoints • Optimize LLM-based orchestration pipelines for document understanding, medical record summarization, case chronology generation, and drafting support • Own code changes, deployments, and validation • Communicate model evaluation findings to product and GTM stakeholders • Lead technical implementation from discovery through staging to production • Implement monitoring and observability for model performance, output, cost, and drift • Report operational findings to management on an ongoing basis • Maintain documentation of evaluation methodologies, model comparisons, transition decisions, and system runbooks

🎯 Requirements

• 5+ years of AI/ML engineering experience evaluating, fine-tuning, and deploying LLMs in production environments • Experience with cloud infrastructure (AWS or GCP) at scale • Experience writing production-deployed LLM orchestration frameworks and multi-model pipelines • Hands-on development of multiple RAG solutions • Hands-on experience with embedding models and vector databases • Hands-on experience building agentic workflows • Experience implementing EvalOps or Evals-as-a-Service architecture • Deep familiarity with the LLM ecosystem, including model capabilities, limitations, fit, heuristic-gated model routing, and cost, quality, speed, and capability tradeoffs • Proven experience designing evaluation frameworks for LLM output quality in high-stakes domains such as legal or medical, including hallucination detection • Comfort in a fast-paced, high-ambiguity environment • Excellent communication skills and ability to translate complex model evaluation findings into clear recommendations for technical and non-technical stakeholders • Bonus: experience with unstructured medical or legal document processing, or classical ML (statistics, embeddings, RAG) • Currently based in the United States • Authorized to work in the United States without sponsorship • At least 1–2 years of hands-on LLM or generative AI development • At least 1–2 years of hands-on experience building agentic workflows or multi-agent systems

🏖️ Benefits

• Equity stakes with opportunity to share in the company upside • 100% remote within the US, with flexible arrangements • Unlimited paid time off • Comprehensive health, dental, and vision benefits • Strong growth potential and advancement opportunities as LawPro.ai scales

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