Software Engineer

Brooksource; Greenwood Village (CO); Hybrid; USD 96,432 - 103,320; Full time

Benefits offered by this job

Medical insurance

401k with company match

Paid time off

Job summary

Brooksource is seeking an AI-Focused Software Engineer in Greenwood Village, CO, to design and deploy AI-powered tools for their Video Insights team. This hands-on role involves working on a variety of use cases, integrating AI solutions with existing platforms like Jira and Tableau, while utilizing AWS services.

The ideal candidate should have experience with LLMs, AWS, and strong debugging skills across distributed systems. The position offers a pay rate of $70-$75/hour, with a W2 contract through the end of the year.

Qualifications

• Experience in building AI-powered tools.
• Strong knowledge of AWS and LLM technologies.
• Proficient in debugging distributed systems and data platforms.

Responsibilities

• Design and deploy AI tools for analysts and QA teams.
• Build AI agents for various development lifecycle stages.
• Automate tasks across analytics and data validations.
• Integrate AI tooling with existing platforms.

Skills

Hands-on experience building with LLMs

AWS experience

Familiarity with MCP or similar patterns

SQL and data platform fluency

Strong debugging skills

Ability to translate loosely defined team needs

Tools

AWS Cloud

Tableau

Jira

Confluence

GitLab

Job description

Location:

Denver Metro Area (4 days onsite 1 remote)

Pay Rate:

$70-$75/hour (depending on experience)

Position Type:

W2 Contract through the end of the year with potential for conversion or extension

Job Description:

The Video Insights team at our Fortune 500 client is hiring an AI‑Focused Software Engineer to design, build, and deploy AI‑powered tools and workflows that make their analysts, engineers, and QA teams more effective. This is a hands‑on build role. You will work from a growing backlog of prioritized use cases with solid requirements handed off by the team, then own the how: designing the solution, building it, and handing it back to the respective team for ongoing maintenance.

Think of it as a software engineering lifecycle applied to AI -- scope, build, monitor, improve. The team has already shipped AI solutions in production (automated test case generation, merge request tooling) and is accelerating.

Top Skills:

• Hands‑on experience building with LLMs -- prompt engineering, agent frameworks, tool‑use patterns, or RAG systems
• AWS experience with demonstrated knowledge of AWS services, particularly Athena; AWS Certified Cloud Practitioner certification required (can be obtained quickly after start if not already held)
• Familiarity with MCP (Model Context Protocol) or similar agent‑tool integration patterns -- on‑the‑job learning expected given the newness of the space
• SQL and data platform fluency -- all use cases live in the data platform space
• Strong debugging skills across distributed systems, data pipelines, and AI agent workflows
• Ability to translate loosely defined team needs into scoped, working software

Day to Day:

• Pick up scoped use cases from the AI backlog -- requirements are provided by the team; you own the technical approach and build end‑to‑end
• Build AI agents that assist at each stage of the development lifecycle, from requirements and architecture review through coding, testing, debugging, and deployment
• Develop and maintain MCP servers that connect AI tools to the Video Insights data ecosystem, giving agents real context about data, schemas, and business logic
• Automate repetitive tasks across analytics requirements gathering, data validation, job monitoring, and Tableau reporting
• Build agents that detect pipeline failures, read logs, surface root causes, and recommend fixes
• Integrate AI tooling with the team's existing platforms -- Jira, Confluence, GitLab, Athena, and Tableau -- to reduce context switching
• Develop data quality monitoring agents that detect anomalies and assess downstream lineage impact
• Write clean, tested, documented code -- this team has not had dedicated SWEs before, so you will be setting the engineering standards
• Work within AWS infrastructure (Athena, EMR, S3, Lambda) and integrate with the team's existing data stack

Interview Process:

• Phone & Video Screen w/ Brooksource. One onsite interview w/ client that will include a presentation and panel interview. There will be a take home homework assignment to create the presentation

Team Size:

The video insights org is a 45‑person team that includes insight engineers, data developers, Tableau developers, and QA/test engineers. This role sits in the AI vertical and will collaborate across the full org depending on the use case being built.

EEO Statement:

Brooksource is an equal opportunity employer that does not discriminate on the basis of actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression, sexual orientation, marital status, military service and veteran status, physical or mental disability, protected medical condition as defined by applicable state or local law, genetic information, or any other characteristic protected by applicable federal, state, or local laws and ordinances.

Pay Disclaimer:

The pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

Brooksource offers competitive medical, dental, vision, Health Savings Account, Dependent Care FSA, and supplemental coverage with plans that can fit each employee’s needs. We offer a 401k plan that includes a company match and is fully vested after you become eligible, paid time off, and sick time. Paid company holidays are subject to hour requirements and completion of the new hire period (13 weeks). We also offer an Employee Assistance Program (EAP) that provides services like virtual counseling, financial services, legal services, life coaching, etc.