[Hiring] Staff AI Engineer @Velocity Talent

Role Description

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
• Production-grade AI platform engineering
• LLM function/tool calling
• Multi-agent orchestration
• Vector databases/OpenSearch
• RAG
• 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
• Taking end-to-end ownership of features

Qualifications

• 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

Requirements

• 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)
• Qualifying orchestration may use LangGraph, CrewAI, AutoGen, Strands or a custom framework — what matters is that it shipped to AWS

Benefits

• Fully remote US role with approximately 20% travel (in-person interview and one-week onboarding, expenses covered)
• Compensation: up to $230,000
• Start date ASAP
• Authorization: must be legally authorized to work in the US; no sponsorship