REMOTE Lead AI Engineer

Everforth CyberCoders
United States
21 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
2 years minimum
Compensation
$175,000.0 - $200,000.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Amazon Web Services Python (Programming Language) Automation of Marketing Node.Js Software Architecture Next.js Salesforce.Com Software Engineering TypeScript Large Language Models Snowflake
+9 more
AgentCore Backend Agentic-AI AI Platforms Production Code Free and Open-Source Software Virtual Agents Api Design Agent2Agent Protocol

Job description

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

Requirements

Requirements: 7+ years software engineering experience, 2 years LLMs, AWS/Bedrock, Typescript/Node OR Python, agent frameworks (MCP, etc.), * 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 & conditions

  • Medical, dental, and vision benefits
  • HSA and FSA options
  • Family and pet benefits
  • 401(k) with employer match
  • Paid time off
  • Educational assistance, $175000 - $200000 USD per year

About the company

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.

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