Remote Senior AI Engineer - Multi-Agent Platform Lead

Velocity Talent

United States

Remote

USD 207,000 - 253,000

Full time

7 days ago
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Job summary

Velocity Talent is hiring a Staff AI Engineer for Robots & Pencils to build and ship AI coworkers into enterprise systems. This senior backend role focuses on production-grade AI platforms in a mature environment, with remote US work and travel.

Requires 6+ years of software engineering, strong Python/Node.js, and hands-on LLM tool calling with multi-agent orchestration on AWS. Expect ownership of features end-to-end and mentoring opportunities.

Qualifications

  • 6+ years of professional software engineering experience.
  • Strong Python and Node.js proficiency.
  • Hands on experience with LLM tool calling and multi-agent orchestration.
  • AWS services exposure across Lambda, DynamoDB, S3, SQS, EventBridge and Step Functions.
  • API design, backend development, and testing strategy.

Responsibilities

  • Build and maintain backend services and APIs in Python and Node.js.
  • Engineer production AI features: LLM function calls, multi-agent orchestration, vector search, 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; contribute to full-stack integration.
  • Improve reliability, troubleshoot production systems, and assist with releases.
  • Review code, mentor engineers, and own features end to end.

Skills

Python
Node.js
LLM tool calling
Prompt engineering
Multi-agent orchestration
Embeddings
Vector databases
Streaming responses
RAG

Tools

AWS Lambda
DynamoDB
S3
SQS
EventBridge
Step Functions
OpenSearch

Job description

Velocity Talent is hiring a Staff AI Engineer for Robots & Pencils to build and ship AI coworkers into enterprise systems. This senior backend role focuses on production-grade AI platforms in a mature environment, with remote US work and travel.

Requires 6+ years of software engineering, strong Python/Node.js, and hands-on LLM tool calling with multi-agent orchestration on AWS. Expect ownership of features end-to-end and mentoring opportunities.

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