Build the future of AI for business.
Ironworks AI is hiring its founding team. We're looking for builders who want to own their work, move fast, and help small businesses unlock the power of AI. If you want a front-row seat to building a company from the ground up — keep reading.
Built for builders.
Meaningful equity
All founding team members receive meaningful equity. The CTO role includes co-founder-level equity. We believe the people who build the company should own a real stake in it.
Full benefits
Comprehensive health, dental, and vision insurance. 401(k). Generous paid time off. We're a startup, but we invest in our people like a company that plans to keep them.
Remote-first, high autonomy
Small team, direct access to leadership, no layers of bureaucracy. We care about what you ship, not where you sit or how many meetings you attend.
Revenue from day one
This is a services-first company that generates revenue from month one. We're not a decade-long bet on a product that may never ship — we're building something real, now.
Current Openings
CTO / Technical Co-Founder
$210,000 – $238,000 + Co-Founder Equity + Full Benefits
This is not a "Head of Engineering" role at a company with a product already built. This is a co-founder position. You will be the technical half of a two-person leadership team: the CEO brings the clients, the industry knowledge, and the revenue; you bring the architecture, the engineering vision, and the team.
You'll own everything technical — from the AI/ML architecture and engineering decisions to hiring and leading the technical team. You'll work directly with clients to translate business problems into technical solutions, and you'll build the systems that turn custom client work into reusable IP and eventually productized AIaS offerings.
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Responsibilities
- Define and own the technical architecture, engineering strategy, and product vision for all Ironworks AI services and products
- Lead the design and development of custom AI solutions including dashboards, AI agents, workflow automation, and predictive models for SMB clients
- Build and lead the engineering team — hiring, mentoring, and establishing engineering culture, standards, and processes from the ground up
- Collaborate directly with the CEO on client engagements, translating business requirements into technical architectures and project scopes
- Develop reusable frameworks, component libraries, and deployment patterns that compound into intellectual property and drive engineering efficiency
- Architect the transition from custom services to productized AIaS offerings, including multi-tenant infrastructure and scalable deployment
- Evaluate and select AI/ML tools, cloud infrastructure, APIs, and development frameworks
- Establish security practices, data governance policies, and compliance standards for client engagements
- Participate in sales conversations and client presentations as the technical authority
Required Qualifications
- 8+ years of software engineering experience, with 4+ years in AI/ML, data engineering, or applied machine learning
- Demonstrated experience building and shipping AI/ML systems in production environments — not just research or prototypes
- Strong full-stack technical skills: you can architect a system, write production code, deploy infrastructure, and debug at every layer
- Experience leading or building engineering teams (hiring, technical mentorship, code review culture, sprint planning)
- Proficiency with modern AI/ML frameworks (PyTorch, TensorFlow, Hugging Face, LangChain, or equivalent) and cloud platforms (AWS, GCP, or Azure)
- Experience with LLM-based applications, agent systems, RAG architectures, or similar applied GenAI work
- Strong communication skills — able to explain technical concepts to non-technical clients and stakeholders
Preferred Qualifications
- Prior startup or co-founder experience, especially in services-to-product transitions
- Experience in consulting or professional services (client-facing delivery, scoping, SOWs)
- Familiarity with the political, public affairs, or government affairs industry
- Experience building multi-tenant SaaS platforms or productizing custom solutions
Compensation & Benefits
- Base salary: $210,000 – $238,000 (co-founder level; adjusts as revenue scales)
- Co-founder equity stake with standard 4-year vesting and 1-year cliff
- Comprehensive health, dental, and vision insurance
- 401(k) retirement plan
- Generous PTO policy
- Remote-first work environment
Sr. AI/ML Engineer
$232,500 – $263,500 + Employee Equity + Full Benefits
You'll be the core builder on our engineering team — the person who takes a client's business problem and turns it into a working AI system. This is a hands-on, high-impact role where you'll design and develop custom AI/ML solutions across a range of SMB clients.
You'll work closely with the CTO to build everything from intelligent agents and workflow automation to predictive models and real-time dashboards. As one of the first engineering hires, you'll have significant influence over our technical stack, architecture patterns, and the reusable IP library that will power our growth.
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Responsibilities
- Design, develop, and deploy custom AI/ML solutions for SMB clients, including AI agents, workflow automation systems, predictive models, and intelligent dashboards
- Build and fine-tune LLM-based applications, RAG systems, and agent architectures tailored to specific business use cases
- Develop data pipelines, ETL processes, and integration layers connecting client data sources to AI-powered tools
- Create reusable components, frameworks, and deployment templates that accelerate future client engagements
- Collaborate with the CTO on system architecture decisions and technical strategy
- Participate in client discovery sessions to understand business requirements and translate them into technical specifications
- Implement monitoring, logging, and observability for deployed AI systems to support our Manage service tier
- Conduct model evaluation, testing, and continuous improvement for production systems
- Contribute to internal knowledge sharing, documentation, and engineering best practices
Required Qualifications
- 5+ years of software engineering experience with 3+ years focused on AI/ML, applied machine learning, or data science in production environments
- Strong proficiency in Python and experience with AI/ML frameworks (PyTorch, TensorFlow, scikit-learn, Hugging Face, LangChain, or equivalent)
- Hands-on experience building and deploying LLM-based applications, including prompt engineering, fine-tuning, RAG, and agent frameworks
- Experience with cloud platforms (AWS, GCP, or Azure) and containerized deployments (Docker, Kubernetes)
- Solid understanding of data engineering fundamentals: SQL, data pipelines, ETL, and working with diverse data sources
- Experience deploying and monitoring ML models in production, including performance tracking and model retraining
- Ability to work directly with non-technical stakeholders to scope and deliver technical solutions
Preferred Qualifications
- Experience in a consulting, agency, or professional services environment where you delivered custom solutions for multiple clients
- Familiarity with NLP applications: document processing, text classification, summarization, entity extraction
- Experience building real-time dashboards or business intelligence tools (Streamlit, Dash, custom React)
- Knowledge of workflow automation platforms (n8n, Zapier, Make) or experience building custom orchestration systems
- Familiarity with political technology, public affairs tools, or government data systems
Compensation & Benefits
- Base salary: $232,500 – $263,500
- Equity grant from the employee equity pool with standard 4-year vesting and 1-year cliff
- Comprehensive health, dental, and vision insurance
- 401(k) retirement plan
- Generous PTO policy
- Remote-first work environment
Full-Stack Developer
$172,500 – $195,500 + Employee Equity + Full Benefits
You'll be the person who makes our AI work visible and usable. While the AI/ML engineers build the intelligence behind the scenes, you'll create the client-facing applications, dashboards, and interfaces that put that intelligence in people's hands.
As one of the first four team members, you'll have outsized influence on our front-end architecture, design system, and the user experience of every product we ship. You'll work across our entire service line — from Consult deliverables and Build project applications to the Manage client portal and eventually our productized AIaS tools.
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Responsibilities
- Design and build client-facing web applications, dashboards, and portals that surface AI-generated insights, analytics, and automation controls
- Develop responsive, intuitive front-end interfaces using modern frameworks (React, Next.js, or similar)
- Build and maintain back-end APIs and services that connect front-end applications to AI/ML pipelines, databases, and third-party integrations
- Create the client portal and management interface for our Manage service tier, including monitoring dashboards, reporting, and alerting
- Implement authentication, authorization, and multi-tenancy patterns for client applications
- Build data visualization components that translate complex AI outputs into clear, actionable business insights
- Collaborate with AI/ML engineers to integrate model outputs, agent responses, and automated workflows into user-facing applications
- Develop and maintain reusable UI component libraries and front-end templates that accelerate future client projects
- Contribute to DevOps and deployment pipelines, including CI/CD, staging environments, and production releases
Required Qualifications
- 4+ years of professional full-stack development experience with a strong portfolio of shipped, production applications
- Proficiency in modern JavaScript/TypeScript and front-end frameworks (React, Next.js, Vue, or Svelte)
- Solid back-end development skills in Node.js, Python (FastAPI/Flask), or similar, with experience building RESTful APIs and/or GraphQL
- Experience with relational and non-relational databases (PostgreSQL, MongoDB, Redis)
- Familiarity with cloud platforms (AWS, GCP, or Azure) and containerized deployments
- Strong design sensibility — you care about UX, accessibility, and building applications that feel polished and professional
- Comfortable working across the full stack and taking ownership of features end-to-end
Preferred Qualifications
- Experience building data visualization dashboards or business intelligence interfaces (D3.js, Chart.js, Plotly, or similar)
- Familiarity with AI/ML concepts and experience integrating AI model outputs into user-facing applications
- Experience with real-time data (WebSockets, SSE, streaming APIs)
- Background in a consulting or agency environment where you delivered custom applications for multiple clients
- Experience with design systems, component libraries (Storybook, Radix, shadcn/ui), and responsive design at scale
Compensation & Benefits
- Base salary: $172,500 – $195,500
- Equity grant from the employee equity pool with standard 4-year vesting and 1-year cliff
- Comprehensive health, dental, and vision insurance
- 401(k) retirement plan
- Generous PTO policy
- Remote-first work environment