AI Engineering Manager
doolaFull Time
Junior (1 to 2 years)
Key technologies and capabilities for this role
Common questions about this position
Candidates need 5+ years of managing engineering teams, solid technical expertise in AI and LLM areas like APIs, models, self-hosted models, RAG and Vector Databases, or MCP, and experience managing remote teams.
The role is based in Shanghai and requires experience managing remote teams and distributed workforce, but specific remote policy details are not provided.
This information is not specified in the job description.
The team values collaboration and innovation, with a focus on mentoring engineers, providing constructive feedback, conducting 1:1s, and ensuring engineers grow and have a great experience.
Strong candidates have 5+ years managing engineering teams with a focus on customer experience, deep AI/LLM technical expertise, experience with remote teams, and bonus for NGINX/OpenResty or Rust experience; apply even if you don't meet every criterion.
API management and connectivity solutions provider
Kong focuses on API management and connectivity, providing tools that help businesses manage, secure, and optimize their APIs for software communication. Its main product, Kong Gateway, is a fast API gateway that can handle up to 50,000 transactions per second, while Kong Konnect offers a SaaS platform for API management and Kong Mesh manages microservices. Kong stands out by combining open-source technology with enterprise solutions, allowing free access to core features and offering premium services for businesses. The company's goal is to enhance developer productivity, security, and performance for a diverse range of clients in a rapidly growing market.