We are looking for experienced, Tech Lead–level engineers who can operate at the intersection of strong software engineering fundamentals and AI-native development practices. This role is ideal for individuals who thrive in fast-paced, high-ownership environments and are comfortable leveraging AI to accelerate and transform the software development lifecycle.
You will play a critical role in anchoring early-stage delivery, defining engineering standards, and scaling AI-native capabilities across teams using a Spec-Driven Development (SDD) approach.
Key Responsibilities:
Lead end-to-end delivery of products using AI-native and SDD-based development models
Translate product requirements into structured specifications that drive automated and AI-assisted implementation
Establish and evangelize engineering best practices, including spec-driven workflows, automation-first design, and AI-assisted coding
Act as a multiplier for team productivity by introducing scalable development patterns and tooling
Drive rapid iteration cycles while maintaining high quality and system reliability
Mentor engineers in adopting AI-assisted development workflows and modern engineering practices
Collaborate closely with product, design, and business stakeholders in high-ambiguity environments
Required Experience & Skills:
8+ years of strong software engineering experience, with recent exposure to Tech Lead or equivalent responsibilities
Hands-on experience working in AI-native development environments (e.g., using AI copilots, code generation, or LLM-powered workflows)
Proven ability to work with Spec-Driven Development (SDD) or structured execution models
Deep understanding of system design, architecture, and scalable engineering practices
Experience in automation-first engineering, including CI/CD, testing, and workflow automation
Demonstrated ability to operate in fast-paced, startup-like environments with high ownership
Strong problem-solving skills with the ability to balance speed and quality
Strong expertise in Python, backend development, APIs, automation, and scalable architectures, with hands-on experience in modern frameworks such as FastAPI, Django, and Flask.
Preferred Background:
Experience in AI-native startups or innovation-driven teams
Exposure to:
AI-assisted coding tools and frameworks
Prompt engineering and LLM integration in development workflows
Rapid prototyping and iteration models
Track record of building or scaling engineering practices from the ground up
Tech Stack
Python, Flask, FastAPI, Django - Proficient
AI-native development environments - Proficient
Experience working across multiple technologies - Proficient
Python, Backend Development, API Development, FastAPI, Django, Flask, System Design, Software Architecture, Scalable Architectures, Spec-Driven Development, AI-Native Development, AI-Assisted Development, AI-Assisted Coding, Large Language Models, LLM Integration, Prompt Engineering, Automation-First Engineering, Workflow Automation, CI/CD, Test Automation, Code Generation, AI Copilots, Rapid Prototyping, Agile Development, Technical Leadership, Engineering Best Practices, Software Engineering, Cloud Computing, Microservices, Distributed Systems, Problem Solving, Mentoring, Stakeholder Management, High Ownership, Startup Environment, Product Development, Automation Frameworks