REMOTE Lead AI Engineer

CyberCoders, Inc.; United States; Remote; USD 180,000 - 280,000; Full time

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

Job Title: Lead AI Engineer
Location: Remote
Requirements: 7+ years software engineering experience, 2 years LLMs, AWS/Bedrock, Typescript/Node OR Python, agent frameworks (MCP, etc.)

About Us

We are a leading media and technology organization operating one of the largest and most diverse out-of-home networks in the United States. Our mission is to help people, places, and businesses grow by creating meaningful connections between brands and audiences across more than 150 markets. We prioritize innovation, data-driven solutions, and a diverse, inclusive workplace where our teams can thrive.

About the Role

We are hiring our first dedicated owner for our internal AI platform. Our AI assistant, built on the Vercel AI SDK and AWS Bedrock, is moving into production, and our external agent infrastructure (MCP-based) is already live with early partners. Both require a senior engineering leader to scale, mature, and define the next generation of our AI capabilities.

This is a hands-on technical leadership role. You will architect the platform, write production code, set long-term direction, and partner closely with executive technology leadership. You will also support our automation team by providing the core AI infrastructure they build on.

If you want to build a meaningful AI platform from the ground up inside a company fully committed to AI transformation, this is that opportunity.

What You Will Work On

• 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

What We Are Looking For

• 7+ years building production backend or full-stack systems
• 2+ years building production LLM-backed systems (not prototypes)
• Deep AWS experience; Bedrock strongly preferred
• Strong TypeScript and Node and/or Python skills
• Experience with agent frameworks or protocols (MCP, A2A, etc.)
• Strong API design instincts for both human and agent consumers
• Experience owning a platform other engineers build on
• Ability to translate ambiguous business needs into working systems
• Excellent communication and cross-functional collaboration

Nice to Have

• Experience in adtech, programmatic, OOH, or DOOH
• Familiarity with M365 or Power Platform
• Snowflake or Sigma experience
• Open-source contributions to MCP or agent frameworks

Benefits

• Medical, dental, and vision benefits
• HSA and FSA options
• Family and pet benefits
• 401(k) with employer match
• Paid time off
• Educational assistance