IFD AI Engineer

Chipply; United States; On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

Paid Parental Leave

401(k) with Employer Match

Job summary

Chipply is seeking an Internal Forward Deployed AI Engineer to embed with internal teams and ship AI-powered solutions that cut manual work and speed up decision making. You will build agents, integrations, and deterministic tooling on top of existing systems like HubSpot, Microsoft 365, Confluence, and Slack.

You will work closely with leadership and departments to identify high-impact opportunities, write production-grade code, and define governance for AI systems, data handling, and security.

Qualifications

• Five to eight years of professional software engineering experience.
• Proficient in Python and/or TypeScript; comfortable with production code.
• Hands-on experience building integrations for business SaaS platforms such as HubSpot, Microsoft Graph, Slack, or Confluence.
• Experience with large language models in production: prompts, tool use, retrieval, cost and latency tradeoffs.
• Familiarity with AI agent frameworks and MCP connectors for multi-step automation.
• Experience with a major LLM provider (Claude/OpenAI/Gemini) in production.
• Knowledge of security practices for API integrations and data handling.
• Strong cross-functional communication and project management skills.
• Bachelor's degree in CS or related field preferred but not required.

Responsibilities

• Design, build, and maintain AI agents and integrations across departments.
• Inspect and leverage APIs/webhooks from internal SaaS platforms to create team-specific solutions.
• Collaborate with leadership to identify high-impact AI opportunities and deliver measurable improvements.
• Write production-ready code and build multi-tool, multi-agent systems.
• Develop evals and monitoring to ensure output quality of AI systems.
• Champion internal AI adoption through education and best practices.
• Establish governance for data handling, privacy, and tool selection.
• Evaluate emerging AI tools and pilot promising technologies.
• Measure ROI and communicate value of shipped systems.
• Create and maintain documentation for AI workflows and integrations.
• Coordinate with Engineering, Finance, Sales, Marketing, Customer Support, and Product to align tech needs.
• Monitor security and compliance across integrations and AI systems.

Skills

Python

TypeScript

APIs & SaaS integration

AI with LLMs

LLM frameworks

MCP connectors

Security best practices

Cross-functional communication

Problem solving

Education

Bachelor's degree in CS or related field

Tools

HubSpot

Microsoft Graph

Confluence

Slack

Make.com / Zapier / n8n

Job description

Company Overview

Chipply is the industry's preferred web store platform that gives the power to team dealers, custom apparel decorators, and corporate suppliers to launch online stores with confidence and grow their GMV efficiently.

Primary Purpose and Function

Chipply is hiring an Internal Forward Deployed AI Engineer to embed with our internal teams and ship AI‑powered solutions that reduce manual work, accelerate decision making, and improve productivity across the company. This role reports to the CEO and is responsible for building real, production‑grade engineering work—agents, integrations, and deterministic tooling—directly on top of the systems Chipply already runs on.

This is a hands‑on engineering role, not an orchestration or admin role. You will not be configuring SaaS platforms from the ground up. Instead, you will inspect the systems we already use (HubSpot, Microsoft 365, Confluence, Slack, and others), understand what APIs, webhooks, and MCP surfaces they expose, and partner with each department to design and build the AI agents, integrations, and automations that plug into them. Where AI is the right tool, you build with AI. Where a deterministic solution is better, you build that instead. The judgment to know the difference is part of the job.

This is also an intentionally evolving role. The scope of AI in the business will change as tools, models, and capabilities mature, and you must be comfortable defining the work as you go, reshaping priorities frequently, and building capabilities from the ground up. You will report directly to the CEO and partner closely with leadership, Engineering, Finance, Sales, Marketing, Customer Support, and Product to identify high‑impact opportunities and ship the engineering work that captures them.

Responsibilities

• Design, build, and maintain AI agents, integrations, and automations that reduce manual work, eliminate bottlenecks, and improve productivity across every department at Chipply
• Inspect Chipply's internal SaaS platforms (HubSpot, Microsoft 365, Confluence, Slack, and others) to understand what APIs, webhooks, and MCP connectors they expose, and use those surfaces to build the integrations each team needs
• Partner with leadership and department heads to identify and prioritize high‑impact opportunities by mapping existing workflows and pinpointing where engineering effort—AI‑powered or deterministic—will deliver measurable improvement
• Write production code. Build multi‑tool and multi‑agent systems that connect Chipply's internal platforms into seamless end‑to‑end processes. Make sound judgment calls on when AI is the right tool and when a deterministic solution is a better fit
• Build evals and monitoring for AI systems you ship, so output quality is measurable rather than assumed
• Serve as Chipply's internal AI champion by leading education, training, and adoption efforts, and by acting as the go‑to engineering resource for AI questions, best practices, and emerging use cases
• Establish and maintain responsible AI governance, including guidelines for data handling, privacy, model and tool selection, output quality monitoring, and ethical use
• Continuously evaluate emerging AI tools, agent frameworks, model providers, and orchestration libraries; pilot promising technologies and recommend adoption decisions based on impact, cost, and fit
• Measure and report on the ROI of the systems you ship, tracking time saved, error reduction, cost impact, and quality improvements
• Develop and maintain documentation for the systems, integrations, and AI workflows you build so institutional knowledge scales with the company
• Serve as a liaison across Engineering, Finance, Sales, Marketing, Customer Support, and Product to align on technology needs and ship workflow improvements end to end
• Monitor security and compliance across the integrations and AI systems you build, collaborating with engineering and leadership to ensure data protection best practices are followed
• Continuously redefine the scope, priorities, and deliverables of the role as Chipply's needs and the broader AI ecosystem evolve

Requirements

• Five to eight years of professional software engineering experience, with a meaningful portion of that time spent shipping production code against third‑party APIs and SaaS platforms
• Strong programming fundamentals in at least one modern language commonly used for AI and integration work (Python and TypeScript preferred). Comfortable writing, testing, deploying, and operating code in production
• Hands‑on experience building against the APIs of business SaaS platforms—HubSpot, Microsoft Graph / Microsoft 365, Slack, Confluence, or comparable systems. You should be able to read API docs, evaluate auth and rate‑limit constraints, and design a robust integration on top of them
• Demonstrated experience building with large language models in production: prompt and context design, tool use / function calling, retrieval, evaluation, and cost and latency tradeoffs
• Hands‑on experience with AI agent frameworks and MCP (Model Context Protocol) connectors, or comparable multi‑step automation that spans multiple systems. You should be able to explain when an agent is the right architecture and when a deterministic pipeline is better
• Practical experience building with a major LLM provider (Claude, OpenAI, Gemini, Copilot, or similar). Chipply primarily uses Claude, but experience with any production‑grade LLM platform is welcome
• Familiarity with business process automation tools (HubSpot workflows, Zapier, Make.com, n8n)—not as your primary craft, but enough to know when an off‑the‑shelf automation is the right answer instead of new code
• Strong problem‑solving and debugging skills, with the ability to diagnose issues across distributed systems and design iterative, scalable solutions
• Excellent project management skills, with the ability to balance multiple priorities, meet deadlines, and ship continuous improvements without losing the thread on quality
• Self‑starter who is comfortable with ambiguity, thrives in fast‑moving environments, and is energized by a role whose scope will evolve significantly over time
• Strong cross‑functional communication skills, with the ability to translate technical capabilities into business outcomes for non‑technical stakeholders, and to translate business problems into technical specs
• Curiosity and discipline to stay current on a rapidly changing AI landscape and translate emerging trends into practical applications for Chipply
• Excellent interpersonal and collaboration skills, with strong organizational habits and attention to detail
• Ability to maintain confidentiality and exercise discretion when handling sensitive company and customer data
• Knowledge of security best practices for API integrations, secrets management, and AI system data handling is preferred
• Bachelor's degree in computer science, information systems, or a related field is preferred but not required; equivalent professional engineering experience is welcome

Benefits

• Medical Insurance
• Dental Insurance
• Vision Insurance
• Paid Parental Leave
• 401(k) with Employer Match