Fractional
AI/ML Developer:
Scaling Engineering &
Launching 3 AI Products
How AdmireTech's Fractional AI/ML Developer helped a Series A SaaS startup scale from 8 to 35 engineers, define a complete AI strategy, and ship three production AI products — all in 12 months at 40% of a full-time hire cost.
Engagement Outcomes
The Project
A $8M Series A startup — funded but leaderless
The Challenge
CTO departure left a critical leadership vacuum at the worst time
A Series A SaaS marketplace had raised $8M and was under enormous pressure to ship, scale, and demonstrate AI differentiation. Their founding CTO had departed, leaving an 8-person team without technical direction during the most critical growth phase.
The board couldn't justify a $300K+ full-time CTO salary at this stage — but they desperately needed the leadership.
- No AI strategy or roadmap — competitors were pulling ahead
- Engineering team directionless — morale and velocity declining
- No hiring process, engineering ladder, or culture framework
- Technical debt accumulating while investors expected new features
- Board needed credible technical leadership for Series B preparation
The AdmireTech Solution
A Fractional AI/ML Developer — 20 hours/week, full CTO-level impact
AdmireTech deployed a senior Fractional AI/ML Developer with 15+ years of engineering leadership and deep production AI expertise. Operating 20 hours per week across three simultaneous workstreams.
This wasn't advisory — our developer shipped code, made architecture decisions, conducted interviews, presented to the board, and mentored internal tech leads.
- Immediate AI-first technical direction and architecture decisions
- Structured hiring — 27 engineers onboarded with zero mis-hires
- Three AI products scoped, built, and shipped to production
- Engineering ladder, culture, and CI/CD built from scratch
- Series B pitch deck technical narrative written and board-presented
Engagement Structure
Four parallel tracks running simultaneously
Rather than tackling problems one at a time, AdmireTech ran four workstreams in parallel — ensuring no part of the business fell behind while another was being strengthened.
Team Building
Recruited, interviewed, and onboarded 27 engineers across frontend, backend, and ML. Built engineering ladder, performance review frameworks, and career development paths from scratch.
Process & Culture
Implemented agile practices, code review standards, CI/CD pipelines, and technical documentation. Instilled an AI-first engineering mindset that outlasted the engagement.
AI/ML Strategy
Defined the complete AI product roadmap, evaluated LLM integrations, built ML infrastructure on AWS, and guided three AI-powered features from first prototype to production launch.
Technical Leadership
Architected scalable distributed systems, managed vendor relationships, presented technical roadmaps to investors and the board, and mentored internal tech leads for long-term succession.
Implementation Timeline
12 months. Four phases. Zero disruption.
Phase 1 · Months 1–3
- Full technical audit — code, infrastructure, debt
- First 8 engineers hired and onboarded
- Core engineering processes established
- AI product vision and roadmap defined
Phase 2 · Months 4–6
- Team grows to 20 engineers
- CI/CD pipelines and ML infrastructure live
- AI Recommendation Engine shipped (Product #1)
- Engineering culture fully established
Phase 3 · Months 7–9
- Team reaches 30 engineers
- AI Support Chatbot launched (Product #2)
- Predictive analytics in active development
- Internal AI dev tools deployed — 3× productivity
Phase 4 · Months 10–12
- Full team at 35 engineers
- Predictive Analytics live (Product #3)
- Internal tech leads promoted — full succession
- All processes documented for independence
Results Delivered
Every metric moved in the right direction
Engineers Hired & Onboarded
AI Products Shipped to Production
Cost vs. Full-Time CTO Hire
Engineering Team Retention
Our Fractional AI/ML Developer from AdmireTech didn't just fill a seat — he transformed our entire engineering organisation. He built a team that could function without him, which was exactly what we needed. The AI products launched under his guidance became our key differentiator in Series B discussions.
AI Products Launched
Three production AI features — shipped in 12 months
Product 1 · Month 6
AI Recommendation Engine
Personalised product recommendations built on collaborative filtering and LLM-based semantic matching. Surfaces the most relevant marketplace listings based on user intent and behaviour.
↑ 34% Conversion IncreaseProduct 2 · Month 9
AI Support Chatbot
24/7 intelligent support chatbot trained on product documentation and historical tickets. Integrated with Zendesk for seamless human escalation, resolving 60% of inquiries without agent involvement.
60% Inquiries AutomatedProduct 3 · Month 12
Predictive Analytics Dashboard
ML-powered dashboard predicting customer churn, revenue forecasting, and inventory optimisation signals. Became a flagship feature in enterprise sales pitches and Series B conversations.
Key Series B DifferentiatorInternal Tools · Ongoing
AI-Assisted Developer Tooling
AI-assisted code review, automated testing pipeline, and documentation generation. Reduced code review time by 60% and tripled overall developer throughput across the engineering team.
3× Developer ProductivityTechnology Stack
Modern AI-first architecture from day one
Frequently Asked Questions
Everything you need to know about
Fractional AI/ML Developers
Our Fractional AI/ML Developers provide part-time senior technical leadership — typically 15–20 hours per week. They define AI/ML strategy, architect production-grade systems, hire and mentor engineers, manage architecture decisions, and present to investors and boards. You get the same calibre of technical execution as a full-time senior hire at a fraction of the cost and commitment.
AdmireTech’s Fractional AI/ML Developer engagements start from $1,500/month depending on time commitment and scope. Compare this to a full-time senior AI/ML hire at $200K–$350K/year plus equity. You get the same calibre of leadership at 30–50% of the cost — with no long-term hiring commitment and no equity dilution.
A Fractional AI/ML Developer is the right choice when you: (1) Need AI/ML expertise but can’t justify a $250K+ salary, (2) Are scaling an engineering team rapidly and need experienced leadership, (3) Want to define and execute an AI strategy without permanent overhead, or (4) Need someone to build the team, processes, and products before hiring a full-time technical leader.
We build for independence from day one. Every engagement includes promoting and mentoring internal tech leads, fully documenting all processes and architecture decisions, and establishing engineering playbooks that allow the team to operate autonomously. The goal is always to work ourselves out of a job — and hand over a team that’s stronger and more self-sufficient than when we found it.
Hire a Fractional AI/ML Developer
Senior AI/ML leadership without the full-time price tag
AdmireTech's Fractional AI/ML Developers bring production-grade AI expertise, engineering leadership, and hands-on execution — exactly when and where you need it.
for a full-time hire
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