Building intelligent products from zero to scale.Ahmir Williams
I design and build complete software products through end-to-end Fullstack Product Engineering — with AI-Native Development integrated when it creates real strategic advantage.
This service is built for founders and teams who need a product partner, not just a developer. I architect and engineer the full system — frontend, backend, database, APIs, and cloud infrastructure — ensuring your product is stable, scalable, and production-ready from day one.
When AI meaningfully improves the product experience, operational efficiency, or competitive edge, I embed intelligent capabilities directly into the architecture. This can include LLM integrations, agent workflows, automation systems, or AI-driven features — implemented thoughtfully, not unnecessarily.
The focus is always on business impact.
You get a complete, scalable product engineered for growth — with AI integrated where it delivers measurable leverage, not hype.
FAQs
Only when it creates measurable leverage will Ai become the core logic — improving automation, decision-making, personalization, or user experience. If traditional engineering is the smarter solution, I prioritize clarity and performance over unnecessary AI complexity.
Both. Engagements can begin with a zero-to-one MVP designed for rapid validation, or a fully architected production-grade system built for scale, performance, and long-term growth.
Most projects range between 6–10 weeks depending on scope and complexity. Engagements begin with discovery and architecture, followed by structured development, AI integration when needed, testing, and deployment. Larger or enterprise systems may require additional time to ensure scalability and performance.
Pricing is project-based and determined by scope, complexity, and AI integration requirements. After discovery, you receive a clear proposal outlining deliverables, milestones, and total investment.
Yes. A 30% upfront deposit is required to secure project scheduling and begin the discovery and architecture phase. The remaining balance is structured across agreed development milestones. This ensures commitment, protects development capacity, and allows the project to begin with full strategic focus.
Yes. Post-launch support, optimization, and feature expansion can be structured as a continued engagement or retainer, depending on your product needs.
Contact for pricing
Duration10 weeks
Tags
Claude
Replit
Fullstack Engineering
Service provided by
Ahmir Williams
pro
Los Angeles, USA- $1k+
- Earned
- 4
- Paid projects
- 132
- Followers
Building intelligent products from zero to scale.Ahmir Williams
I design and build complete software products through end-to-end Fullstack Product Engineering — with AI-Native Development integrated when it creates real strategic advantage.
This service is built for founders and teams who need a product partner, not just a developer. I architect and engineer the full system — frontend, backend, database, APIs, and cloud infrastructure — ensuring your product is stable, scalable, and production-ready from day one.
When AI meaningfully improves the product experience, operational efficiency, or competitive edge, I embed intelligent capabilities directly into the architecture. This can include LLM integrations, agent workflows, automation systems, or AI-driven features — implemented thoughtfully, not unnecessarily.
The focus is always on business impact.
You get a complete, scalable product engineered for growth — with AI integrated where it delivers measurable leverage, not hype.
FAQs
Only when it creates measurable leverage will Ai become the core logic — improving automation, decision-making, personalization, or user experience. If traditional engineering is the smarter solution, I prioritize clarity and performance over unnecessary AI complexity.
Both. Engagements can begin with a zero-to-one MVP designed for rapid validation, or a fully architected production-grade system built for scale, performance, and long-term growth.
Most projects range between 6–10 weeks depending on scope and complexity. Engagements begin with discovery and architecture, followed by structured development, AI integration when needed, testing, and deployment. Larger or enterprise systems may require additional time to ensure scalability and performance.
Pricing is project-based and determined by scope, complexity, and AI integration requirements. After discovery, you receive a clear proposal outlining deliverables, milestones, and total investment.
Yes. A 30% upfront deposit is required to secure project scheduling and begin the discovery and architecture phase. The remaining balance is structured across agreed development milestones. This ensures commitment, protects development capacity, and allows the project to begin with full strategic focus.
Yes. Post-launch support, optimization, and feature expansion can be structured as a continued engagement or retainer, depending on your product needs.
Contact for pricing