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AI Engineer

Job in Boise, Ada County, Idaho, 83701, USA
Listing for: Velocity Talent
Full Time position
Listed on 2026-10-30
Job specializations:
  • Software Development
    Backend Developer, AI Engineer (Applied/Software), AWS, Cloud Engineer - Software
Salary/Wage Range or Industry Benchmark: 230000 USD Yearly USD 230000.00 YEAR
Job Description & How to Apply Below
Position: Staff AI Engineer

Velocity Talent is hiring a Staff AI Engineer for Robots & Pencils, an applied AI engineering firm that builds and ships AI coworkers into enterprise business systems. This is a senior backend and AI platform role in a mature production environment with real enterprise users.

Type: full time, one opening, start ASAP.
Compensation: up to $230,000.
Location: fully remote, US only, with about 20% travel (an in person interview and a one week onboarding, expenses covered).
Work authorization: must be authorized to work in the US without sponsorship.

The one thing we screen for first

You need hands on experience with AWS Bedrock Agent Core, or a multi agent system you actually deployed to AWS: several coordinating agents running on real AWS infrastructure. Lang Graph, CrewAI, Auto Gen, 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 Open Search, RAG and streaming responses
  • Design AWS native serverless systems with Lambda, DynamoDB single table design, S3, SQS, Event Bridge 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, Event Bridge and Step Functions
  • API and backend design, SQL and No

    SQL 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
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