Senior AI Engineer at an Early-Stage Health-Tech Startup

Qualifications

• The ideal candidate has extensive experience designing and deploying application-layer LLM-powered solutions and working with best-in-class tools such as Langfuse, TensorZero, or similar technologies

• Candidates with expertise in voice AI applications are especially encouraged to apply

• 5+ years of professional experience in software engineering with a focus on AI/ML applications

• Proven experience implementing and scaling LLM-powered workflows, ideally using tools such as Langfuse, TensorZero, or equivalent platforms

• Strong programming skills in Python, along with experience in AI/ML frameworks (e.g., TensorFlow, PyTorch, Hugging Face)

• Familiarity with cloud platforms (AWS, Azure, GCP) and deploying AI services in production environments

• Excellent problem-solving skills, attention to detail, and a passion for innovation

Responsibilities

• Design, develop, and deploy AI solutions that leverage LLMs to enhance business-critical workflows

• Optimize and fine-tune LLMs to meet performance, scalability, and accuracy requirements

• Collaborate with cross-functional teams, including product managers and software engineers, to integrate AI capabilities into core products

• Monitor and maintain AI systems, ensuring they operate with high reliability and efficiency

• Stay up to date with advancements in AI/ML technologies, tools, and techniques, applying relevant innovations to improve our product suite

• Conduct research and development to explore new applications for voice AI and LLM-driven solutions

Full Description

Our client is a fast-growing, early-stage startup revolutionizing healthcare with AI-powered solutions.

Our mission is to transform complex workflows through intelligent automation, particularly in voice and revenue cycle management applications.

Our client seeks passionate, innovative professionals to help drive this transformation and improve patient and provider experiences worldwide.

We are looking for a talented and driven AI Engineer specializing in large language models (LLMs).

The ideal candidate has extensive experience designing and deploying application-layer LLM-powered solutions and working with best-in-class tools such as Langfuse, TensorZero, or similar technologies. Candidates with expertise in voice AI applications are especially encouraged to apply.

About the Role:

• Design, develop, and deploy AI solutions that leverage LLMs to enhance business-critical workflows.

• Optimize and fine-tune LLMs to meet performance, scalability, and accuracy requirements.

• Collaborate with cross-functional teams, including product managers and software engineers, to integrate AI capabilities into core products.

• Monitor and maintain AI systems, ensuring they operate with high reliability and efficiency.

• Stay up to date with advancements in AI/ML technologies, tools, and techniques, applying relevant innovations to improve our product suite.

• Conduct research and development to explore new applications for voice AI and LLM-driven solutions.

About You:

• 5+ years of professional experience in software engineering with a focus on AI/ML applications.

• Proven experience implementing and scaling LLM-powered workflows, ideally using tools such as Langfuse, TensorZero, or equivalent platforms.

• Expertise in voice AI technologies, including speech recognition, natural language understanding, and conversational AI, is highly preferred.

• Strong programming skills in Python, along with experience in AI/ML frameworks (e.g., TensorFlow, PyTorch, Hugging Face).

• Familiarity with cloud platforms (AWS, Azure, GCP) and deploying AI services in production environments.

• Excellent problem-solving skills, attention to detail, and a passion for innovation.

Preferred Experience:

• Prior work experience in the healthcare or SaaS industries.

• Experience at a competitor in the voice AI space.

Qualified candidates please submit your confidential resume to Chessa Eskandanian-Yee: chessa@advisorey.com

advisorey. thanks you for your interest and wishes you much success in your search!