Lead AI Englineer

ABOUT THE EMPLOYER

Our client is a Revenue Performance Agency that empowers B2B companies to scale smarter by aligning strategy with execution, leveraging AI, data, and expertise. Unlike traditional consulting firms, they proactively implement strategies, partnering with revenue teams to achieve measurable outcomes. With a focus on Revenue Operations, Go-to-Market Strategy, Revenue Enablement, and AI-driven solutions, they eliminate silos and modernizes sales processes. Trusted by startups and enterprises alike, the company uses Generative AI and AI Automation to optimize productivity, streamline revenue operations, and drive sustainable growth.

WHAT WILL YOU WORK ON?

This is a senior builder role for someone who can own the full technical execution of AI solutions on client engagements. You will build production-grade applications, manage data pipelines, host and deploy working solutions, and connect systems that clients depend on daily.

You will work alongside an AI Strategy Lead who defines the roadmap and requirements. Your job is to translate those requirements into architecture, build it, and make sure it runs reliably. You are the person who can look at a scoped deliverable and know exactly how to build it, and when the scope needs to change.

What You’ll Do

● Build and deploy AI-powered workflows, agents, and applications for client engagements

● Use Claude Code or similar AI-assisted development tools as a core part of your build workflow

● Connect and integrate CRMs (Salesforce, HubSpot), data warehouses, communication tools, and AI platforms

● Host and deploy solutions that clients can access and use in production, not just hand off code files

● Handle ETL processes, database management, and data transformations as part of building complete solutions

● Work within low-code tools (n8n, Make) when appropriate, and write code (Python, JavaScript, SQL) when the problem requires it

● Collaborate with the Strategy Lead to pressure-test feasibility and refine technical requirements before building

● Document solutions with enough clarity that the team and client can maintain them

WHAT SKILLS AND EXPERIENCE ARE WE LOOKING FOR?

● 3 to 6 years of experience building applications, automations, workflows, or internal tools

● Active, daily use of Claude Code or a comparable AI-assisted development tool as part of your workflow

● Experience with APIs, webhooks, and system integrations at a level beyond basic connectors

● Hands-on experience with LLMs in production workflows, including prompt engineering, API integrations, and agent design

● Familiarity with hosting and deploying web applications or services (not just running scripts locally)

● Experience with ETL, database management, or data pipeline work

● Comfortable working in fast-paced, ambiguous environments where requirements evolve

● Experience with the go-to-market tech stack: Salesforce, HubSpot, Gong, Outreach, or similar platforms

● Experience building for external clients or stakeholders, not just internal teams

● Familiarity with vector databases, RAG architectures, or AI agent frameworks

● History of running your own consulting practice, freelance engineering work, or building products independently

Tools You’ll Likely Use

Claude Code, n8n, Make, Zapier, OpenAI, Claude, Salesforce, HubSpot, Gong, Python, JavaScript, SQL, APIs and webhooks, vector databases

ARE THERE ANY OTHER REQUIREMENTS?

● Background in web application development

● Formal coding proficiency in Python, JavaScript, or SQL beyond what AI-assisted tools generate

● Experience working within a consulting or agency delivery model

What We Don’t Need

● A purist who avoids AI-assisted development tools because they prefer doing everything the traditional way

● Someone who needs enterprise-grade planning and six-month timelines before shipping

● A machine learning researcher. This is a Generative AI role, not a model training role.

● A candidate whose AI experience is limited to using ChatGPT for emails and content

4 hours of overlap with EST