Remote: Senior AI Platform Lead for Production LLMs

CyberCoders, Inc.

United States

Remote

USD 180,000 - 280,000

Full time

3 days ago
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Benefits offered by this job

Medical/Dental/Vision
HSA/FSA options
Family and pet benefits
401(k) with employer match
Paid time off
Education assistance

Job summary

CyberCoders, Inc. is seeking a Lead AI Engineer to own and scale the internal AI platform, driving production adoption and expanding capabilities. You will lead architectural decisions and mentor the AI team while collaborating with exec tech leadership.

The role is fully remote in the United States, requiring strong backend and LLM experience, and a track record building production-grade AI systems with MCP-based workflows.

Qualifications

  • 7+ years building production backend or full-stack systems.
  • 2+ years building production LLM-backed systems.

Responsibilities

  • Own and scale the internal AI platform; expand model and agent capabilities; integrate enterprise data; drive full production adoption.
  • Evolve the MCP server powering external agent-native workflows.
  • Design shared agent infrastructure: routing, evaluation, guardrails, observability, secrets, cost controls.
  • Lead adoption of AWS Bedrock and AgentCore; evaluate and operationalize new capabilities.
  • Make architectural decisions across the AI ecosystem, including integrations with Salesforce and Snowflake.
  • Mentor engineers within the AI and Automation pod.

Skills

Backend engineering
LLMs
AWS Bedrock
TypeScript/Node
Python
Agent frameworks (MCP)
API design
Platform ownership

Tools

AWS Bedrock
MCP

Job description

CyberCoders, Inc. is seeking a Lead AI Engineer to own and scale the internal AI platform, driving production adoption and expanding capabilities. You will lead architectural decisions and mentor the AI team while collaborating with exec tech leadership.

The role is fully remote in the United States, requiring strong backend and LLM experience, and a track record building production-grade AI systems with MCP-based workflows.

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