Job: Technical Lead (AI-First | Strong Fundamentals | MVP Builder)
At Infotech.Works, we partner with startups and innovators to turn raw ideas into working products—fast. Our projects typically move from idea to deployment in 2–6 months, starting with rapid discovery and moving quickly into execution.
We're looking for a Technical Lead who combines deep engineering fundamentals with AI-powered speed—someone who can design solid systems, make the right architectural trade-offs, and still ship fast.
This role is for someone who can think deeply and execute quickly.
What You'll Do
- Translate business ideas into robust technical architectures and system designs
- Lead discovery sessions and create structured solution blueprints
- Design and build MVPs that are fast to launch but don't collapse at scale
- Make key decisions on:
- Data models
- System boundaries
- API contracts
- Performance trade-offs
- Guide developers through clean implementation, code quality, and design thinking
- Introduce reusable patterns and standardized architecture approaches
- Use AI tools to accelerate development—without compromising engineering quality
Core Requirement: Strong Engineering Fundamentals (Critical)
We are not looking for surface-level developers who rely only on AI.
You must be strong in:
Database Design
- Schema design (normalized vs denormalized)
- Indexing strategies and query optimization
- Handling large datasets and performance bottlenecks
- Designing for reporting, analytics, and scalability
- Writing efficient SQL and understanding execution plans
System Design & Architecture
- Designing scalable, modular, and maintainable systems
- Clear understanding of:
- Monolith vs microservices (and when NOT to over-engineer)
- API design and contract-first thinking
- Caching strategies, queues, background jobs
- Ability to design systems that evolve from MVP → scale without rework
Problem Solving
- Ability to break down ambiguous problems into structured solutions
- Strong debugging and performance optimization skills
AI-First Mindset (Equally Important)
You should actively use AI to move faster, not to replace thinking.
- Daily use of tools like ChatGPT, GitHub Copilot, Cursor
- Ability to learn new stacks quickly using AI-assisted workflows
- Comfortable integrating APIs like OpenAI API into products
- Use AI for:
- Rapid prototyping
- Debugging
- Code generation
- Architecture exploration
The key difference:
You verify, refine, and improve AI output using strong fundamentals
Experience Required
- 7–10 years of software development experience
- Proven track record of shipping multiple MVPs or products end-to-end
- Experience in startup, product studio, or consulting environments preferred
- Strong ownership mindset and ability to lead small teams
Technology Expectations
Backend
- Laravel (PHP), Node.js (Express/Nest), or Python (Django/FastAPI)
- Strong API design and integration experience
Frontend
- React / Next.js / Vue
- Ability to quickly build functional, usable interfaces
Cloud & DevOps
- AWS (EC2, RDS, S3, IAM, SES, CloudWatch)
- Docker, CI/CD, Git
Databases
- Strong expertise in MySQL / PostgreSQL (must-have)
- Exposure to NoSQL is a plus
Who You Are
- You understand why things work, not just how to use them
- You can design systems from scratch, not just assemble components
- You are comfortable with ambiguity but bring structure quickly
- You move fast—but never compromise on core design quality
- You use AI as a multiplier, not a crutch
Ideal Candidate Mindset
I can design the system, optimize the database, and ship the product. AI helps me go faster—but I know what good engineering looks like.
