Position Details
About this role
This role involves designing and implementing AI features within a healthcare communication platform, focusing on large language models, API integrations, and AI architecture standards.
Key Responsibilities
- Design AI integration patterns
- Integrate LLM APIs into production
- Build RAG systems and embedding pipelines
- Optimize latency and inference cost
- Establish model evaluation and observability
Technical Overview
The technical scope includes Python backend development, integration of LLM APIs such as OpenAI and Anthropic, vector search, embedding pipelines, and cloud-native architecture on AWS Bedrock, with a focus on security and performance optimization.
Ideal Candidate
The ideal candidate is a mid-level software engineer with 5+ years of experience in AI and machine learning, proficient in Python and cloud-native architectures, with hands-on experience integrating LLM APIs like OpenAI and Anthropic. They should be comfortable working in regulated healthcare environments and optimizing AI models for production.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Less than 5 years software engineering experience, Lack of experience with LLM APIs, No cloud-native architecture experience, No experience in regulated environments
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