getremotejobs
Jobs/Engineering/Staff AI Engineer
Velocity Talent

Staff AI Engineer

Velocity Talent·United States·Fully remote·Senior
Posted 18h ago·via via Himalayas
Job description

This is a remote position.

HARD REQUIREMENT — hands-on AWS Bedrock AgentCore experience, OR a multi-agent solution the candidate DEPLOYED to AWS (multiple coordinating agents on real AWS infrastructure; frameworks count when they shipped to AWS; single-agent chatbots, RAG-only, and notebook-only work do NOT clear). US only.
Staff AI Engineer for Robots & Pencils. One opening. Fully remote US role with approximately 20% travel (in-person interview and one-week onboarding, expenses covered); start date ASAP. Compensation: up to $230,000. Authorization: must be legally authorized to work in the US; no sponsorship.
This is a senior backend/AI engineering role in a mature production AI environment with real enterprise users. The role focuses on Python and Node.js backend engineering, AWS-native serverless architecture, DynamoDB single-table design, and production-grade AI platform engineering: LLM function/tool calling, multi-agent orchestration, vector databases/OpenSearch, RAG, and streaming LLM responses.
Responsibilities include building and maintaining backend services, developing APIs, contributing to full-stack integration, supporting workflow orchestration and event-driven processes, improving reliability, troubleshooting production systems, supporting deployment/release processes, participating in code reviews, mentoring, and taking end-to-end ownership of features.

Requirements

THE HARD REQUIREMENT, STATED AGAIN BECAUSE IT IS THE FILTER: hands-on AWS Bedrock AgentCore experience, OR a multi-agent solution the candidate DEPLOYED to AWS (multiple coordinating agents on real AWS infrastructure; frameworks count when they shipped to AWS; single-agent chatbots, RAG-only, and notebook-only work do NOT clear). US only. Qualifying orchestration may use LangGraph, CrewAI, AutoGen, Strands or a custom framework — what matters is that it shipped to AWS.
6+ years professional software engineering experience. Strong Python and Node.js experience. Hands-on experience with LLM function/tool calling, prompt engineering, multi-agent orchestration, vector databases/OpenSearch, embeddings, streaming LLM responses, and RAG. AWS cloud experience including Lambda, DynamoDB single-table design, S3, SQS, EventBridge, and Step Functions. Experience building and maintaining full-stack applications, workflow orchestration tools, API design and backend systems, SQL and NoSQL databases, production environments, unit testing, maintainable test strategies, and Docker. Nice to have: Langfuse, synthetic AI testing, token cost optimization, reasoning effort configuration, and Step Functions for AI workflows.

Originally posted on Himalayas

Ready to apply?

You'll be taken to Velocity Talent career page to submit your application. We'll also add this to your tracker if you want.

Originally posted via Himalayas. View source ↗
ShareXLinkedInEmail