AI Software Engineer
| Verified Pay check_circle | Provided by the employer$50.00 to $56.00 per hour |
|---|---|
| Hours | Full-time, Part-time |
| Location | Greenwood Village, Colorado |
Compare Pay
Verified Pay check_circleProvided by the employer$38.92
$53.00
$83.8
About this job
Job 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.
- 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).
- Active AWS certification.
Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.If anyone reaches out to you about an open position connected with Eliassen Group, please ensure that you are working directly with us by confirming the following:
· When you work with Eliassen Group, all email communication will come from an Eliassen.com address, never Gmail, Yahoo, etc.
· Eliassen Group will never ask you for personal information (home address, bank account, or check routing number) until you have worked with someone clearly associated with Eliassen Group.
If you have any indication of fraudulent activity, please contact fraud@eliassen.com.
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