Summary
We’re looking for a builder first: someone who can architect and ship secure dashboards, workflow automations, and AI agents that work in production. You should also be comfortable enough in front of clients to lead discovery, demonstrate solutions, and help close the deal. The build is the job. The commercial ability is what makes you dangerous.
You’ll help establish ITG’s AI practice inside a business with real backing, meaningful upside, and the opportunity to shape the technology, processes, and team from the ground floor.
Responsibilities
- Build secure client-facing dashboards, internal tools, and workflow applications using platforms such as Base44, Retool, or similar.
- Design AI agent architecture—including model selection, tool calling, memory, retrieval, guardrails, and orchestration—around each client’s workflow.
- Configure and deploy AI agents from initial prototype through testing, production launch, documentation, and support handoff.
- Integrate AI solutions with client systems through APIs, webhooks, databases, and automation platforms.
- Model token usage, API fees, infrastructure costs, and ongoing support requirements so every solution maintains healthy margins.
- Lead or support client discovery sessions to identify process bottlenecks, requirements, risks, and measurable outcomes.
- Translate discovery findings into solution architecture, demonstrations, project scopes, and proposals.
- Support opportunities through the sales process by clearly explaining the proposed solution, value, limitations, and implementation approach.
- Establish reusable development standards, security practices, testing procedures, and deployment processes for ITG’s AI practice.
- Track emerging models, agent frameworks, and development tools, bringing worthwhile technologies into ITG’s toolkit before competitors do.
Requirements
- 3+ years building software, automation, or technical solutions, ideally within a consulting or client-facing environment.
- Demonstrated experience taking technical products or solutions from concept through production deployment.
- Hands-on experience with LLM APIs such as OpenAI, Anthropic, Google Gemini, or comparable platforms.
- Strong understanding of prompt design, structured outputs, function calling, RAG, embeddings, vector databases, agent workflows, and model evaluation.
- Experience building with low-code or AI application platforms such as Base44, Retool, Bubble, Power Apps, or similar.
- Ability to integrate applications with REST APIs, webhooks, relational databases, and third-party business systems.
- Working knowledge of JavaScript, Python, or another language used to extend low-code platforms and build custom integrations.
- Understanding of authentication, role-based access, data isolation, encryption, secrets management, and secure API practices.
- Familiarity with cloud deployment, development environments, version control, logging, monitoring, and production troubleshooting.
- Ability to design testing and human-review processes that reduce hallucinations, incorrect actions, and unreliable agent behavior.
- Understanding of AI economics, including token usage, model pricing, infrastructure costs, licensing, and ongoing support requirements.
- Ability to document architecture, workflows, configuration, operating procedures, and client handoff materials.
- Strong project ownership, including the ability to manage priorities, communicate risks, and move a build forward without constant direction.
- Insatiable curiosity: you test emerging AI tools and models independently and can explain plainly why one approach is better than another.
- Comfortable leading client discovery, presenting your work, and contributing to a sales conversation, even if closing is not your primary strength.
Preferred Qualifications
- Experience building solutions for operationally complex industries such as construction, architecture, engineering, manufacturing, professional services, or field service.
- Experience connecting AI solutions with CRM, ERP, document management, ticketing, accounting, or Microsoft 365 environments.
- Experience with AI evaluation frameworks, observability tools, automated testing, or model-routing strategies.
- Previous consulting, presales, technical sales, or solutions-engineering experience.
- Experience estimating projects and converting unclear business problems into clearly scoped technical solutions.
Why ITG
You’ll join early enough to define the role rather than fill a seat someone else shaped. ITG offers a community-benefit mission built into how the company is structured, commission on opportunities you help close, and the chance to build our AI practice from the ground floor.
Integrated Technology Group is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status.
Pay: $90,000.00 - $110,000.00 per year
Benefits:
- 401(k)
- Dental insurance
- Health insurance
- Paid time off
- Professional development assistance
- Retirement plan
- Vision insurance
Work Location: In person
