Technical Lead - AI First Approach

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.”