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Building and maintaining AI platform features end-to-end, including customer calls. Understanding of LLM behavior and product decision-making ability required. Equity options available.
Requirements
- Familiarity with core technologies and quick learning ability
- High drive and self-motivation
- User empathy and product decision-making
- Ability to scope, implement, and iterate features
- Understanding of LLM behavior and capabilities
- Heavy user of AI tooling with informed opinions
- Demonstrated ability to ship end-to-end features
Tasks
- Own features end to end
- Scope and design solutions
- Build features across the stack
- Ship and maintain features post-release
- Join customer calls
- Observe product usage
- Read support context
- Influence product direction
- Shape feature development
- Work on Chat, Agents, Workflows, Mobile, and admin tooling
- Develop infrastructure for agent evaluations
- Create product surfaces for agent behavior comparison
- Catch and address regressions
- Build trust in agent functionality
- Design a system for organizing attachments and files
- Ensure user and workspace knowledge is retrievable and governed
- Implement governance for agents in enterprise workspaces
- Manage agent creation and usage
- Audit and secure agent activities
- Develop Excel and Outlook plugins
- Integrate Langdock into existing enterprise tools
- Create multi-step automations with agents
- Implement conditions, loops, and structured outputs
- Design human-in-the-loop nodes
- Lead the fix for production issues
- Own changes in production
Work Experience
- 3 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- TypeScript
- React
- Node
- Postgres
- Redis
- LLMs
- AI tooling
Benefits
Competitive Pay
- Equity
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Building and maintaining AI platform features end-to-end, including customer calls. Understanding of LLM behavior and product decision-making ability required. Equity options available.
Requirements
- Familiarity with core technologies and quick learning ability
- High drive and self-motivation
- User empathy and product decision-making
- Ability to scope, implement, and iterate features
- Understanding of LLM behavior and capabilities
- Heavy user of AI tooling with informed opinions
- Demonstrated ability to ship end-to-end features
Tasks
- Own features end to end
- Scope and design solutions
- Build features across the stack
- Ship and maintain features post-release
- Join customer calls
- Observe product usage
- Read support context
- Influence product direction
- Shape feature development
- Work on Chat, Agents, Workflows, Mobile, and admin tooling
- Develop infrastructure for agent evaluations
- Create product surfaces for agent behavior comparison
- Catch and address regressions
- Build trust in agent functionality
- Design a system for organizing attachments and files
- Ensure user and workspace knowledge is retrievable and governed
- Implement governance for agents in enterprise workspaces
- Manage agent creation and usage
- Audit and secure agent activities
- Develop Excel and Outlook plugins
- Integrate Langdock into existing enterprise tools
- Create multi-step automations with agents
- Implement conditions, loops, and structured outputs
- Design human-in-the-loop nodes
- Lead the fix for production issues
- Own changes in production
Work Experience
- 3 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- TypeScript
- React
- Node
- Postgres
- Redis
- LLMs
- AI tooling
Benefits
Competitive Pay
- Equity
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Langdock
Industry
IT
Description
The company focuses on AI and commercial roles, emphasizing the importance of technical minds in understanding products and customers.
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Senior Product Engineer(m/w/x)
Full-timeOn-siteSeniorBerlin - Langdock
Engineering Department(m/w/x)
Full-timeOn-siteNot specifiedBerlinfrom 140,000 / year