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Senior AI Engineer at Sidecar Health | JobVerse
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Senior AI Engineer
Sidecar Health
Remote
Website
LinkedIn
Senior AI Engineer
United States
Full Time
1 week ago
H1B Sponsor
Apply Now
Key skills
AWS
Cloud
DynamoDB
JavaScript
Next.js
Python
TypeScript
AI
ML
LLM
OpenAI
LangChain
Lambda
S3
Bedrock
API Gateway
Leadership
About this role
Role Overview
Design, architect, and deploy AI-powered systems that directly impact member experience and operational efficiency
Build and optimize LLM-driven applications using advanced prompt engineering, RAG architectures, and agentic workflows
Design scalable AI pipelines using modern orchestration frameworks (LangChain, LangSmith, LlamaIndex, etc.)
Architect multi-agent systems capable of reasoning, planning, and executing complex multi-step tasks
Implement evaluation and monitoring frameworks to measure AI performance, detect hallucinations, and ensure reliability at scale
Own cloud-native AI infrastructure for performance, scalability, cost efficiency, and security
Partner with Product and Engineering leadership to identify and execute high-impact AI initiatives
Stay at the frontier of the AI ecosystem and translate emerging capabilities into production-ready systems
Establish internal standards, tooling, and best practices for AI development across the organization
Requirements
Bachelor’s or Master’s degree in Computer Science, Information Systems, Business Administration, or a related field
5+ years of professional software engineering experience, including meaningful ownership of production systems
Significant hands-on experience building and deploying AI/ML systems in production
Strong proficiency in Python and TypeScript (Next.js a plus)
Deep experience with LLM APIs (OpenAI, Anthropic, AWS Bedrock) and orchestration frameworks (LangChain, LangSmith, LlamaIndex)
Strong understanding of advanced prompt engineering techniques and LLM optimization strategies
Experience designing and deploying RAG systems, vector databases, and semantic search applications
Cloud infrastructure expertise (AWS preferred): Lambda, Step Functions, API Gateway, DynamoDB, S3
Strong understanding of LLM behavior: tokenization, embeddings, context limits, evaluation, and hallucination mitigation
Demonstrated track record of shipping scalable, production-grade AI systems — not prototypes or demos.
Tech Stack
AWS
Cloud
DynamoDB
JavaScript
Next.js
Python
TypeScript
Benefits
Competitive salary, bonus opportunity, and equity package
Comprehensive Medical, Dental, and Vision benefits
A 401k retirement plan
Paid vacation and company holidays
Opportunity to make an impact at a rapidly growing mission-driven company transforming healthcare in the U.S.
Apply Now
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