AI Software Engineer

Description Hybrid 4 onsite / 1 work from home in Greenwood Village, CO Our client seeks an AI-focused Software Engineer to design, build, and deploy practical AI-driven tools that improve data analyst, data engineering, and QA workflows. The role centers on applied AI and software engineering, including AI agents, MCP servers, context-aware tooling, and integrations across ETL, reporting, analytics tagging, testing, and project management. You will collaborate closely with stakeholders, identify automation opportunities, and deliver reliable internal tools using modern web technologies and AWS. Your work will establish engineering standards and enable scalable, cost-aware AI adoption across the Video Insights ecosystem. Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance. Rate: $50.00 to $56.00/hr. w2 Responsibilities Eliminate manual bottlenecks across reporting, tagging, and testing workflows.Build AI agents supporting requirements review, architecture, coding, testing, debugging, and deployment.Capture and structure tribal knowledge to streamline onboarding and inform AI tools.Automate tasks across analytics requirements gathering, data validation, job monitoring, and Tableau reporting.Create agents that detect pipeline failures, analyze logs, surface root causes, and recommend fixes.Develop reusable prompt templates, steering files, and workspace configurations to standardize AI behavior.Develop and maintain MCP servers to connect AI tools with data, schemas, and business logic.Integrate AI tooling with Jira, Confluence, GitLab, Athena, and Tableau to reduce context switching.Build data quality monitoring agents for anomaly detection and lineage impact assessment.Automate data cleanup and resource optimization workflows.Implement guardrails in AI-assisted query tools to prevent expensive or unbounded operations.Build internal tools and applications using TypeScript, React, Node.js, and Python.Develop APIs and backend services that power agent workflows and connect to internal platforms.Write clean, tested, and documented code while setting engineering standards.Work within AWS services such as Athena, EMR, S3, and Lambda and integrate with the existing data stack. Experience Requirements 3+ years of software engineering experience with production applications using TypeScript/JavaScript, Python, or similar.Active AWS certification with demonstrated knowledge of AWS services.Hands-on experience with LLMs, including prompt engineering, agent frameworks, tool-use patterns, or RAG systems.Familiarity with the Model Context Protocol (MCP) or similar agent-tool integration patterns.Experience with SQL and data platforms such as Athena or Spark.Strong debugging skills across distributed systems, data pipelines, and AI agent workflows.Ability to design thorough test cases and support reliability testing for tools and agents.Strong written and verbal communication skills.Ability to manage development work independently.Ability to translate non-technical needs into working software.Experience building knowledge graphs, context graphs, or semantic layers for enterprise data (preferred).Familiarity with Tableau, data visualization tools, or BI platform APIs (preferred).Background in data engineering or analytics, including ETL pipelines, data quality, and validation workflows (preferred).Experience with CI/CD, GitLab, and infrastructure-as-code (preferred).Familiarity with Jira APIs, Confluence, or project management tool integrations (preferred).Experience with job monitoring, log analysis, or operational alerting systems (preferred). Education Requirements Active AWS certification.