What are the responsibilities and job description for the AI Engineer position at ChatGPT Jobs?
Job Description
AI Engineer
Location
Greenwood Village, Colorado (Onsite 4 days a week)
Role Overview
We are seeking an AI-focused Software Engineer to design, build, and deploy AI-powered tools and workflows. This is a hands-on engineering role focused on building practical solutions to enhance team effectiveness. You will work to understand workflows, identify automation opportunities, and deliver tools that reduce manual effort. This role combines software engineering and applied AI, involving the development of AI agents, MCP servers, and context-aware tooling to support ETL development, reporting, analytics, and testing.
Key Responsibilities
Job#: 3034721
Company: Everforth Apex
AI Engineer
Location
Greenwood Village, Colorado (Onsite 4 days a week)
Role Overview
We are seeking an AI-focused Software Engineer to design, build, and deploy AI-powered tools and workflows. This is a hands-on engineering role focused on building practical solutions to enhance team effectiveness. You will work to understand workflows, identify automation opportunities, and deliver tools that reduce manual effort. This role combines software engineering and applied AI, involving the development of AI agents, MCP servers, and context-aware tooling to support ETL development, reporting, analytics, and testing.
Key Responsibilities
- Eliminate manual bottlenecks across reporting, tagging, and testing workflows.
- Build AI agents that assist at each stage of the development lifecycle, from requirements through deployment.
- Automate repetitive tasks in analytics, data validation, job monitoring, and reporting.
- Develop and maintain MCP servers to connect AI tools with the data ecosystem.
- Integrate AI tooling with existing platforms like Jira, Confluence, Gitlab, Athena, and Tableau.
- Develop internal tools and applications using TypeScript, React, Node.js, and Python.
- Develop APIs and backend services to power AI agent workflows.
- Write clean, tested, and documented code, setting new engineering standards for the team.
- Work within AWS infrastructure (Athena, EMR, S3, Lambda) and integrate with the existing data stack.
- Approximately 3 years of software engineering experience with production applications (TypeScript/JavaScript, Python, or similar).
- An active AWS certification and demonstrated knowledge of AWS services, including S3, EC2, EMR, Lambda, and Athena.
- Hands-on experience building with LLMs, including prompt engineering, agent frameworks (like LangChain or Crew AI), tool-use patterns, or RAG systems.
- Experience with SQL and data platforms such as Athena or Spark.
- Strong software debugging skills, with the ability to diagnose issues across distributed systems and data pipelines.
- Ability to design thorough test cases and support reliability testing.
- Ability to translate non-technical team needs into working software.
- Experience building knowledge graphs, context graphs, or semantic layers for enterprise data.
- Familiarity with Tableau, data visualization tools, or BI platform APIs.
- Background in data engineering or analytics, with an understanding of ETL pipelines and data quality.
- Experience with CI/CD, Gitlab, and infrastructure-as-code.
- Familiarity with Jira APIs, Confluence, or project management tool integrations.
- Experience with job monitoring, log analysis, or operational alerting systems.
- Familiarity with the Model Context Protocol (MCP) or similar integration patterns.
Job#: 3034721
Company: Everforth Apex