2 дня назад
AI Engineer (Applied AI)
176 000 - 288 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Engineer (Applied AI) (LLM agents/voice AI): Building and hardening a production omnichannel AI agent for insurance claims with an accent on orchestration, retrieval, tool use, evaluation, and synchronous voice performance. Focus on designing release-gating evals, analyzing production call traces, improving containment without sacrificing accuracy, and managing latency, interruptions, and human handoffs.
Location: United States — Remote
Salary: $176,000–$288,000 annually
Company
provides a cloud platform combining digital, core, analytics, and AI capabilities for property and casualty insurers.
What you will do
- Build and own end-to-end slices of Concierge, including prompt and context architecture, retrieval over policy and coverage data, tool and API calls, and human handoffs.
- Develop evaluation loops using golden sets, trajectory evaluation, LLM-as-judge techniques, production call-trace analysis, and error analysis.
- Improve containment and resolution rates while preserving accuracy and instrumenting the system to measure both.
- Optimize the synchronous voice path, including turn-taking, interruptions, latency budgets, LiveKit, SIP, and the underlying telephony layer.
- Use carrier calls and recordings to identify conversation failures and guide product improvements.
Requirements
- Experience building and deploying production LLM applications used by real users.
- Strong knowledge of LLMs, context engineering, RAG, agentic workflows, machine learning, and deep learning.
- Experience with disciplined evaluations, statistical measurement, error analysis, and making unpredictable AI systems reliable.
- Strong software engineering fundamentals, including data stores, distributed systems, testing, security, privacy, CI/CD, cost, latency, reliability, and scalability.
- Daily experience using coding agents and shaping product specifications for AI systems.
- Must be able to work remotely from the United States.
Nice to have
- Experience with real-time or streaming voice systems, ASR, TTS, telephony, SBC, SIP, or SIPREC.
- Insurance, claims, or other regulated-domain experience.
- Experience building evaluation or observability tooling adopted by other engineers.
- Experience with model experimentation, training, and production deployment.
- Experience with P&C insurance, products, DSPy, or GEPA.
Culture & Benefits
- Work on Concierge, a production AI agent used by real carriers and policyholders.
- Full-time employees receive health, dental, and vision insurance.
- Benefits include paid time off and a company-sponsored retirement plan.
- Some roles may include annual bonuses, commissions, or long-term incentive awards.
- is an equal opportunity employer.
Hiring process
- Submit a short note describing a shipped system where model unpredictability was the central problem and how it was addressed.
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