Crossing Hurdles is hiring: Software Engineer in Burlingame

Overview

Crossing Hurdles is a global recruitment consultancy firm that assists our clients to hire the best talent.

About the Client: AI-driven solution automates outbound calls for healthcare organizations, handling benefits verifications, claim follow-ups, prior authorizations, credentialing, and provider data inquiries.

• Role –Staff Software Engineer
• Location –Burlingame, CA
• Required Tech Stack –Python, Hugging Face, LangChain, LlamaIndex, OpenAI APIs, Anthropic, AWS, GCP, Azure, Kubernetes, Docker, Terraform, FHIR, HL7, HIPAA, Vector Databases
• Compensation –$145K – $250K Equity (Competitive)
• Benefits –Medical, Dental, Vision, 401(k), Unlimited PTO
• YOE –5 years of backend or full-stack software engineering experience, with 3 years working on ML/LLM-enabled applications.

Responsibilities

• Backend for LLMs: Build scalable, low-latency APIs and services for healthcare LLMs.
• Data & Pipelines: Develop ingestion, preprocessing, and RAG pipelines for clinical and revenue-cycle data.
• LLMOps & Observability: Design systems for model monitoring, evaluation, cost tracking, and reliability.
• Optimization: Engineer solutions for caching, batching, load balancing, and scaling LLM workloads.
• Security & Compliance: Ensure HIPAA-ready infrastructure and data governance.
• Collaboration: Work with product, ML engineers, and healthcare experts to optimize backend systems.
• Leadership: Lead LLM backend projects, establish best practices, and mentor peers.

Qualifications

• Experience: 5 years backend/full-stack engineering, 3 years with ML/LLM-enabled applications.
• Skills: Strong Python, and ideally Go/Java/TypeScript. LLM integration (Hugging Face, LangChain, OpenAI APIs, etc.). Expertise in distributed systems, service-oriented architecture, and scalable APIs.
• Tech Stack: AWS/GCP/Azure, Kubernetes, Docker, Terraform. Familiar with MLOps/LLMOps (CI/CD, model evaluation, monitoring).
• System Design: Excellent ability to align technical architecture with product goals.
• Preferred: Experience in healthcare or regulated industries (FHIR, HIPAA). RAG pipelines, vector DBs, responsible AI.

Benefits

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