Applied AI Engineer

Location: Boulder, CO 
Reporting To: CTO 
Job Type: Full-time, Hybrid in office Boulder, CO 
Work Authorization: Applicants must have legal authorization to work in the U.S. without the need for current or future sponsorship 

About BranchLab 

BranchLab is an AI-native company unlocking smarter audiences for healthcare marketers. 
 
At the intersection of AI, healthcare, and advertising technology, we build solutions that make audience insights both intelligent and scalable to drive measurable outcomes, like script lift. 
 
Our platform uses predictive modeling to identify and activate high value AI-native health audiences. Driving better Rx discoverability with less friction, waste, or guesswork. 
 
Prioritizing transparent performance, full population coverage, and unparalleled privacy standards – BranchLab ensures speed, precision, and trust in every campaign. 

The Opportunity 

We’re hiring an Applied AI Engineer to lead the development of LLM-powered applications that enhance our platform's intelligence and automation. This role focuses on loading proprietary data into foundation models, building RAG pipelines, developing LLM-based agents, and integrating with tools like Amazon Bedrock, OpenAI APIs, and vector databases. 

Key Responsibilities 

• Build and deploy LLM applications using Amazon Bedrock, OpenAI, and similar platforms 

• Implement retrieval-augmented generation (RAG) workflows with structured and unstructured data 

• Design and deploy AI agents that interact with tools, APIs, and databases 

• Fine-tune or adapt LLMs with custom data to support healthcare advertising use cases 

• Develop and integrate vector search systems using tools like FAISS, Pinecone, or similar 

• Collaborate with engineering and product teams to ship production-ready AI features 

Qualifications 

• Hands-on experience deploying LLMs in a business setting (chatbots, search, summarization, etc.) 

• Experience with Amazon Bedrock, OpenAI, LangChain, or similar frameworks 

• Familiarity with RAG architecture, vector search, and embedding techniques 

• Strong Python skills and experience with cloud environments (AWS preferred) 

• Ability to quickly prototype and iterate on AI-powered applications 

Bonus Points 

• Experience integrating LLMs into customer-facing SaaS platforms 

• Knowledge of HIPAA or healthcare data environments 

• Exposure to agent orchestration and tool-use with LLMs (e.g., function calling, agents, tools) 

Why Join BranchLab? 

• Competitive salary + significant equity 

• Tackle complex engineering challenges in privacy-first healthcare advertising. 

• Work alongside top-tier engineers, data scientists, and privacy experts.