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Cacheflow

Senior Software Engineer (AI Agents)

austin, TX

Check who can apply and the requirements below before continuing.

About this opportunity

Cacheflow lists this Senior Software Engineer (AI Agents) opportunity in austin, Texas. Review the employer’s description below for duties, qualifications and application requirements.

Job description

What You’ll Do

Design, build, and iterate on AI agents that interact with data across BigCommerce and partner ecosystems to drive automation

Connect agents to MCP (Model Context Protocol) servers that interact with various backend systems (APIs, Databases, etc.) to surface their capabilities to the AI agents to drive powerful and intuitive user experiences

Build AI agents that can assist with store management actions, by interpreting user intent and calling necessary APIs

Develop and integrate AI assistant features directly into the BigCommerce control panel to support natural language queries and actions

Collaborate with product designers and NLP experts to deliver intuitive, useful, and delightful conversational experiences

Quickly build proof‑of‑concept solutions to validate relevant user stories

Contribute to internal tooling and frameworks that support LLM fine‑tuning, prompt engineering, and safe action execution

Who Are You

5+ years of experience in backend or full‑stack software development, ideally with a focus on AI, MCP, and A2A systems

BS or higher degree in Computer Science or a related technical field

Strong and proven programming skills in Go

Experience working with LLMs (OpenAI, Anthropic, etc.) and building agentic AI applications

Understanding of prompt engineering concepts

Deep understanding of RESTful APIs and data integration across systems

Excellent problem‑solving skills and ability to work in a fast‑paced, exploratory environment

Strong collaboration and communication skills in cross‑functional teams

Strong preference toward execution and delivery

Preferred

Experience with e‑commerce platforms or SaaS product development

Background in conversational AI or natural language processing

Familiarity with prompt engineering and chaining tools (LangChain, Semantic Kernel, etc.)

Experience building in or for mobile environments (iOS/Android) is a plus

Previous work with rules‑based systems, automation tools, or AI copilots

Work Where You Thrive

For candidates based in the Austin or Atlanta metro area, the position follows a hybrid work model with three days per week in the office, balancing focused individual work with meaningful in‑person collaboration.

(Pay Transparency Range: $116,000.00 - $195,000.00)

Compensation Transparency

The national base salary range for this role is posted above in this job post.

Final compensation will be determined based on factors such as relevant experience, skills, qualifications and geographic location. We also consider internal equity to help ensure fair and consistent pay practices across our teams.

Where applicable, this role may also be eligible for variable compensation (such as bonus or commission), equity, and benefits in accordance with local policies. Details will be shared during the hiring process. We are committed to equitable and transparent pay practices that align to market data, internal equity, and individual contribution.

Inclusion and Belonging

At Commerce, we believe that celebrating the unique histories, perspectives and abilities of every employee makes a difference for our company, our customers and our community. We are an equal opportunity employer and the inclusive atmosphere we build together will make room for every person to contribute, grow and thrive.

We are committed to creating an inclusive and accessible hiring experience for all candidates. If you require accommodations or adjustments at any stage of the recruitment process, please let us know and we will work with you to meet your needs.

Learn more about the Commerce team, culture and benefits at

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Worksite address

austin, TX, 78716, US

Who can apply

Review the original listing for work authorization, qualifications and employer requirements.

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