We develop the AI infrastructure that powers the AI experience throughout the product. We ensure the production AI platform is stable, reliable and secure.
Our mission is not only to build AI-powered features, but to enable every product team to build reliable, scalable, and high-quality AI experiences.
We work with modern LLM technologies, agentic workflows, MCP, retrieval systems, evaluation pipelines, distributed systems, and production-grade AI infrastructure, deploying to production multiple times a day.
Job responsibilities
What You'll Do
As a Tech Lead, you'll play a key role in shaping the future of AI .
You'll combine deep technical expertise with strategic thinking, helping multiple teams build production-ready AI experiences while driving engineering excellence across the organization.
In this role you will:
Lead the technical direction of one of AI domains.
Design scalable AI architectures and production-ready agentic systems.
Drive technical decisions around LLMs, Retrieval, Tool Calling, MCP, evaluation frameworks, and AI infrastructure.
Own complex cross-team initiatives from design through production.
Collaborate closely with Product, Data, Infrastructure, and Engineering teams to turn AI opportunities into customer value.
Help define engineering standards and best practices for building reliable AI systems.
Drive engineering excellence through architecture reviews, mentoring, and technical leadership.
Balance rapid experimentation with production-grade quality and scalability.
Evaluate emerging AI technologies and identify opportunities to improve our platform and customer experience.
Our mission is not only to build AI-powered features, but to enable every product team to build reliable, scalable, and high-quality AI experiences.
We work with modern LLM technologies, agentic workflows, MCP, retrieval systems, evaluation pipelines, distributed systems, and production-grade AI infrastructure, deploying to production multiple times a day.
Job responsibilities
What You'll Do
As a Tech Lead, you'll play a key role in shaping the future of AI .
You'll combine deep technical expertise with strategic thinking, helping multiple teams build production-ready AI experiences while driving engineering excellence across the organization.
In this role you will:
Lead the technical direction of one of AI domains.
Design scalable AI architectures and production-ready agentic systems.
Drive technical decisions around LLMs, Retrieval, Tool Calling, MCP, evaluation frameworks, and AI infrastructure.
Own complex cross-team initiatives from design through production.
Collaborate closely with Product, Data, Infrastructure, and Engineering teams to turn AI opportunities into customer value.
Help define engineering standards and best practices for building reliable AI systems.
Drive engineering excellence through architecture reviews, mentoring, and technical leadership.
Balance rapid experimentation with production-grade quality and scalability.
Evaluate emerging AI technologies and identify opportunities to improve our platform and customer experience.
Requirements:
10+ years of software engineering experience with a strong backend background.
3+ years as a Tech Lead or technical leader in fast-paced environments.
Strong AI engineering skills, including context engineering, agent optimization, troubleshooting, and systematic evaluation of AI system performance.
Excellent system design and distributed systems experience.
Strong understanding of scalable cloud architectures (AWS or equivalent).
Experience building production-grade backend services and microservices.
Excellent communication and stakeholder management skills.
Passion for solving complex technical problems.
Curiosity and excitement about AI and rapidly evolving technologies.
Ability to lead technical direction while remaining hands-on.
10+ years of software engineering experience with a strong backend background.
3+ years as a Tech Lead or technical leader in fast-paced environments.
Strong AI engineering skills, including context engineering, agent optimization, troubleshooting, and systematic evaluation of AI system performance.
Excellent system design and distributed systems experience.
Strong understanding of scalable cloud architectures (AWS or equivalent).
Experience building production-grade backend services and microservices.
Excellent communication and stakeholder management skills.
Passion for solving complex technical problems.
Curiosity and excitement about AI and rapidly evolving technologies.
Ability to lead technical direction while remaining hands-on.
This position is open to all candidates.
