Live opening · Posted 9 days ago

Technical Lead - AI First Approach

Infotech.Works · Pune District, Maharashtra, India (On-site)
Linkedin No
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At a glance

The key details from the original listing.

Posted 9 days ago
CompanyInfotech.Works
LocationPune District, Maharashtra, India (On-site)
Work modeNo
SourceLinkedin
Listed9 days ago

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About the role

Description supplied by the original job listing.

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.”

Work arrangement
No

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