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.”