Libre Talent hires world-class technical talent for early-stage startups. This intake form is for one of Libre Talent's clients, as described below in more detail.

Senior Software Engineer, Applied AI @ RXNT

— Updated Candidate Guide coming soon —

About RXNT

At RXNT, we think of ourselves as a backbone to the US healthcare system. Every day, we provide the digital foundation on which healthcare professionals serve patients, order medications and lab tests, bill insurance companies, and interact with the wider healthcare community.

25 years of blood, sweat, and tears have taught us that this pursuit comes with great responsibility. It's in the best interest of everyone if we hold ourselves to high standards, think rigorously, and at times, act urgently. Interesting technical challenges keep us engaged and enable us to do important work.

We're looking for self-motivated people who love to learn, are comfortable in a fast-paced and quickly-growing environment, and who seek ownership.

You will join a team operating at start-up pace, led by experienced entrepreneurs, yet leveraging the strong foundations of a company with decades in the business. Learn more about our engineering values in our candidate guide (coming soon).

What you'll be doing:

• Production-Grade Code & Architecture
• Establish and enforce production-level standards for code quality and architecture.
• Ensure solutions are robust, maintainable, and capable of operating at scale.
• Generative AI Model Deployment
• Provision and launch LLMs and generative AI models in the cloud for inference and training.
• Ensure systems are reliable, scalable, and cost-effective, with proper monitoring and alerting.
• Machine Learning Pipeline Management
• Build and maintain end-to-end ML pipelines, including data ingestion, model training, and fine-tuning.
• Collaborate with data scientists to integrate new models into production inference pipelines.
• Distributed Real-Time Systems
• Architect and develop distributed real-time systems with a focus on text and multimedia streaming applications.
• Develop APIs and services to handle high-throughput, low-latency scenarios.
• Technical Leadership
• Lead the design, architecture, and development of scalable AI-driven systems.
• Act as an authority on Python and best practices in software engineering (code reviews, testing strategies, CI/CD).

You might be a good fit if you have:

• Education: Bachelor’s degree (or higher) in Computer Science, Engineering, or a related field.
• Location: Live in or are willing to relocate to an approved U.S. state or Canada.
• Experience:
• 5+ years of professional software and/or machine learning engineering experience with production systems.
• 2+ years of production experience in one or more machine learning areas: Generative AI, NLP, Agentic Systems, Classification/Recommendation Systems, or similar areas.
• Proven experience in leading engineering teams and projects.
• Background in .NET or similar (e.g., Java, C++) is advantageous but not mandatory.
• Technical Skills:
• Advanced Python: Demonstrated ability in building production-level Python applications.
• Architecting Distributed Systems: Experience designing real-time, fault-tolerant systems, ideally (nice to have) with streaming (text, audio, or multimedia).
• LLMs & Generative AI: Experience in building with, deploying, and evaluating language models, embeddings, and multi-modal generative models.
• ML Frameworks: Familiarity with PyTorch, TensorFlow, or similar.
• Databases: Hands-on experience with both relational and NoSQL databases.
• Cloud & MLOps: Proven experience in one or more cloud platforms (GCP, Azure, AWS) and strong knowledge of MLOps best practices (containerization, CI/CD, versioning, monitoring).
• Tooling & Frameworks (Nice to Have):
• LangChain / LangGraph or similar for LLM orchestration.
• Audio processing techniques and tools (e.g., ffmpeg, WebRTC).
• Infrastructure as code tools (Terraform, etc.).
• Culture & Mindset:
• Bias to action, and ability to simplify and solve complex problems.
• You are excited about being part of building a new product and laying the foundations.
• Strong attention to details and obsession with balancing priorities to generate the most value in the shortest possible time.
• Excellent communication and interpersonal abilities.
• You own what you touch, and the collective success of your team and your company is your goal.
• Ability to work collaboratively in a cross-functional team environment.
• Additional Qualifications:
• Experience in the healthcare technology sector is a plus.

Not a perfect fit on paper? Apply anyway!

We understand you might not meet every single requirement. Our team has historically welcomed candidates whose strengths outweigh the gaps—especially those who learn quickly and show a strong drive to succeed. If this sounds like you, we encourage you to apply!

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And here's our comprehensive candidate guide one more time:

RXNT Candidate Guide (coming soon)