1 день назад
Senior Software Engineer (AI)
180 000 - 225 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Software Engineer (AI): Building backend services and a distributed orchestration platform for enterprise AI agents, robots, and human-in-the-loop workflows with an accent on Python/C#, LLMs, agentic systems, healthcare workflows, and reliability. Focus on designing evaluations for non-deterministic systems, scaling long-running distributed execution, and turning customer-validated prototypes into production systems.
Location: Bellevue, United States; on-site
Salary: $180,000–$225,000 annual base salary
Company
develops enterprise automation software and AI-powered products that coordinate robots, AI agents, and human workflows.
What you will do
- Design, develop, and maintain backend services for the HLS healthcare products using Python and C#.
- Build the core orchestration engine for enterprise AI agents, robots, and human-in-the-loop workflows.
- Prototype ideas rapidly, validate them with customers, and ship successful concepts to production.
- Design evaluations and measure AI system quality against real customer data.
- Build scalable, reliable distributed systems with state management, retries, replayability, and long-running jobs.
- Participate in an on-call rotation approximately one week every two to three months.
Requirements
- Strong backend engineering experience with Python and/or C#.
- Production experience with AI systems, including LLMs, tool calling, structured outputs, orchestration, and model evaluation.
- Experience with agentic or workflow-based systems, multi-agent architectures, durable workflows, retries, and long-running execution.
- Experience with healthcare systems or standards such as Epic, Cerner, X12 EDI, HL7/FHIR, ICD-10/HCPCS, claims, or revenue cycle workflows.
- Experience designing resilient distributed systems and debugging non-deterministic behavior using empirical analysis.
- Ability to work on-site in Bellevue, United States.
Nice to have
- Applied machine learning, data science, experimentation, and AI evaluation experience.
- Large-scale data platforms, retrieval-augmented generation, or citation-grounded AI experience.
- Experience combining deterministic rules engines with probabilistic AI systems.
- Experience with PHI/HIPAA-aware engineering, multi-tenant systems, Kubernetes, or workflow platforms such as Temporal and Airflow.
- Startup, applied research, open-source, or 0-to-1 product experience.
Culture & Benefits
- Work in a small internal-startup environment with rapid iteration and frequent customer feedback.
- Build 's strategic AI orchestration platform and contribute to its Act 2 strategy.
- Collaborate in short development cycles with frequent demonstrations and changing product boundaries.
- Work on high-visibility enterprise automation and AI technology.
- provides an inclusive workplace and reasonable accommodations for candidates on request.
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