13 часов назад
Applied AI Engineer
142 300 - 195 700$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Applied AI Engineer (Python/LLM): Building and operating production-grade AI services using Python, large language models, RAG, and agentic workflows with an accent on scalable APIs, reliable inference pipelines, and observability. Focus on designing distributed backend systems, integrating agentic coding tools, tuning cost and latency, and delivering secure AI capabilities to real users.
Location: Must currently reside in, or be willing to relocate to, Louisville, Dallas, Boston, New York City, or Washington, DC, and be able to work onsite as needed.
Salary: $142,300–$195,700 per year, plus eligibility for a bonus incentive plan.
Company
is a U.S. healthcare company providing insurance and healthcare services through and CenterWell.
What you will do
- Design, build, deploy, and operate production AI services using LLMs, RAG, and agentic workflows.
- Architect scalable, well-tested REST APIs and backend systems for downstream applications.
- Build data and inference pipelines for large datasets and model outputs.
- Own reliability, performance, cost, observability, logging, metrics, tracing, alerting, and evaluations.
- Drive code review, testing, CI/CD, documentation, and secure-by-default engineering practices.
- Partner with data scientists and engineers while evaluating new LLM, agent, and AI infrastructure capabilities.
Requirements
- Residence or relocation to Louisville, Dallas, Boston, New York City, or Washington, DC is required, with onsite work as needed.
- Bachelor’s degree in a quantitative discipline with at least 5 years of software engineering experience, or a relevant master’s degree with at least 3 years of experience.
- At least 5 years of experience developing production Python applications and services.
- Strong API and system design, testing, debugging, distributed systems, Git, and software engineering fundamentals.
- Experience with FastAPI or Flask, RESTful APIs, authentication, cloud platforms, Docker, Kubernetes, and CI/CD.
- Production LLM integration experience, including prompt design, tool or function calling, evaluation, cost and latency tuning, and day-to-day use of agentic AI coding tools.
Nice to have
- Production experience with agentic or RAG-based systems, retrieval, tool use, memory, and evaluations.
- Distributed systems, event-driven architectures, streaming platforms, or Kafka experience.
- Familiarity with LangChain, LlamaIndex, Pydantic AI, OpenTelemetry, LangSmith, Arize, Terraform, or Pulumi.
- Experience working in collaborative, fast-moving environments with strong problem-solving skills.
Culture & Benefits
- Full-time schedule of 40 hours per week.
- Medical, dental, and vision benefits.
- 401(k) retirement savings plan.
- Paid time off, company and personal holidays, and paid parental and caregiver leave.
- Short- and long-term disability coverage, life insurance, and additional well-being benefits.
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