> Markdown version of [/jobs/ext/4333206-remote-lead-ai-engineer](https://www.wearedevelopers.com/jobs/ext/4333206-remote-lead-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# REMOTE Lead AI Engineer

- **Company:** Everforth CyberCoders
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $175,000.0 - $200,000.0
- **Contract:** Permanent contract
- **Skills:** 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, AgentCore, Backend, Agentic-AI, AI Platforms, Production Code, Free and Open-Source Software, Virtual Agents, Api Design, Agent2Agent Protocol
- **Published:** October 14, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=ce492e54673fd941

## About the Role

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

## 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