Description
We are seeking a Lead Engineer to join the CoCounsel Application Experience team. As a Lead Engineer, you will play a hands-on technical leadership role in building and evolving our core product experiences. You will own and deliver full-stack solutions across our frontend and backend systems, lead by example in code, and work closely with product, design, and platform partners to deliver high-impact, customer-facing features.
Responsibilities:
- Build end-to-end solutions: Design and implement full-stack features across frontend and backend systems, including hands-on development in our React, TypeScript, and Python stacks.
- Set technical standards: Establish and uphold best practices for code quality, performance, accessibility, testing, and maintainability.
- Collaborate cross-functionally: Partner closely with product, design, and engineering teams to shape requirements, define APIs, and deliver cohesive user experiences.
- Drive execution: Break down complex initiatives, provide reliable estimates, and help the team deliver work from development through production.
- Mentor engineers: Support the growth of other engineers through pairing, code reviews, and ongoing technical guidance.
Requirements:
- 6+ years of professional software engineering experience building and shipping production web applications used by real customers.
- Fluent with agentic coding tools and workflows, leveraging AI agents to accelerate planning, development, testing, and code review.
- Demonstrated ability to lead AI-assisted engineering practices.
- Strong experience with modern frontend frameworks such as React, along with a solid understanding of TypeScript and frontend architecture.
- Hands-on experience building APIs and services with Python as a core language.
- Working knowledge of Node.js and GenAI concepts.
Preferred Qualifications:
- BA or BS in Computer Science or equivalent practical experience.
- Experience with performance optimization for web applications.
- Hands-on experience building AI-powered product features.
- Familiarity with AI/ML infrastructure.
Benefits:
- Hybrid work model.
- Flexibility and work-life balance.
- Career development and growth.
- Industry-competitive benefits.
- Culture of inclusion and belonging.
- Social impact initiatives.