Staff AI Engineer
Full Job Posting
The one thing we screen for first
You need hands on experience with AWS Bedrock AgentCore, or a multi agent system you actually deployed to AWS: several coordinating agents running on real AWS infrastructure. LangGraph, CrewAI, AutoGen, Strands or a custom framework all count, as long as it shipped to AWS. Single agent chatbots, RAG only projects and notebook work don't meet this bar.
What you'll do
Build and maintain backend services and APIs in Python and Node.js
Engineer production AI features: LLM function and tool calling, multi agent orchestration, vector search on OpenSearch, RAG and streaming responses
Design AWS native serverless systems with Lambda, DynamoDB single table design, S3, SQS, EventBridge and Step Functions
Support workflow orchestration and event driven processes, and contribute to full stack integration
Improve reliability, troubleshoot production systems and support releases
Review code, mentor engineers and own features end to end
What you'll need
6+ years of professional software engineering
Strong Python and Node.js
Hands on LLM tool calling, prompt engineering, multi agent orchestration, embeddings, vector databases, streaming responses and RAG
AWS experience across Lambda, DynamoDB, S3, SQS, EventBridge and Step Functions
API and backend design, SQL and NoSQL databases, Docker, unit testing and sound test strategy
Nice to have
- Langfuse, synthetic AI testing, token cost optimization and reasoning effort tuning
- Step Functions for AI workflows
- Apply with your resume. We review every application and reach out quickly to qualified candidates.
Responsibilities
- Build and maintain backend services and APIs in Python and Node.js
- Engineer production AI features: LLM function and tool calling, multi agent orchestration, vector search on OpenSearch, RAG and streaming responses
- Design AWS native serverless systems with Lambda, DynamoDB single table design, S3, SQS, EventBridge and Step Functions
- Support workflow orchestration and event driven processes, and contribute to full stack integration
- Improve reliability, troubleshoot production systems and support releases
- Review code, mentor engineers and own features end to end
- 6+ years of professional software engineering
- Strong Python and Node.js
- Hands on LLM tool calling, prompt engineering, multi agent orchestration, embeddings, vector databases, streaming responses and RAG
- AWS experience across Lambda, DynamoDB, S3, SQS, EventBridge and Step Functions
- API and backend design, SQL and NoSQL databases, Docker, unit testing and sound test strategy
About Sit Stay Concierge Pet Wellness
Providing mobile in-home pet wellness and grooming services.
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