Design, build, and deploy intelligent AI agents for consumer and business applications, owning the full lifecycle from ideation to production deployment.
Compensation
Annual base salary: $180,000–$275,000, depending on experience and qualifications. Competitive equity opportunity.
Responsibilities
Design, build, and deploy intelligent AI agents for consumer and business applications.
Own agentic AI features throughout the complete product lifecycle, from ideation and architecture to implementation and production deployment.
Develop customer-facing AI experiences using Large Language Models (LLMs) and modern agentic frameworks.
Build and improve AI agent functionality, evaluations, monitoring systems, and safety safeguards.
Develop scalable, high-performance web applications using modern full-stack technologies.
Requirements
Nice to have: shipping production-grade agentic AI products
Nice to have: familiarity with LLMs
Nice to have: AI agent frameworks
Nice to have: AI-powered workflow automation
Nice to have: integrating AI applications with APIs and external services
Lead community growth and engagement for YugabyteDB, AMP, and Meko, building programs, events, and content to empower developers.
Compensation
The cash compensation for this role is market competitive, with a range of $160,000-$215,000, as well as equity (when applicable), and benefits including health plans, retirement plans, and unlimited paid time off (PTO). Some roles also include variable/incentive compensation, or a competitive On Target Earnings (OTE) incentive compensation structure.
Responsibilities
Own community programs end-to-end, including workshops, meetups, hackathons, partner events, and online spaces
Build and run community growth plan across YugabyteDB, AMP, and Meko
Run and grow community Slack and Discord, and build presence in channels like Reddit, GitHub, Stack Overflow, LinkedIn, Bluesky, and X
Launch programs that recognize and reward participation
Turn active community members into speakers, authors, sample app contributors, and meetup hosts
Requirements
Bachelor’s degree in Computer Science or a related field
Lead the design, development, and deployment of autonomous AI agents for operations workflows, driving efficiency and customer experience for Latin immigrants in the US.
Responsibilities
Design end-to-end AI solutions for ops workflows
Architect, ship, and maintain stateful AI agents
Implement observability and monitoring for agentic workflows
Integrate AI agents into ops systems with least-privilege access
Support the Tech Team in designing, testing, and improving AI prompts, AI agents, and AI-enabled workflows.
Compensation
Internship stipend of 420 EUR/month, based on 3 days per week.
Responsibilities
Builds, reviews, and tests AI agents using tools such as Copilot Studio, GitHub Copilot or Claude Code
Designs, tests, and improves prompts for everyday business and knowledge use cases
Helps ensure agents comply with the organisation's policies for agent development, including accuracy, privacy, sensitivity, bias, and human review
Keeps clear documentation of prompts, agents, and what works well
Requirements
University degree in Artificial Intelligence, Computer Science, Data Science, Information Management, Human-Computer Interaction, or a related discipline
Lead the creation and growth of Zenrows’ developer relations program, building community, advocacy, and technical content to drive adoption of the web data infrastructure platform.
Responsibilities
Build and scale the DevRel function from scratch
Engage with developer communities via talks, workshops, hackathons, and online channels
Create videos, demos, templates, and open-source projects
Drive community discussions on Reddit, X, Discord, and other platforms
Collect and relay community feedback to product and engineering teams
Design, develop, and continuously improve AI agents and intelligent decision‑support solutions for supply chain operations.
Locations (3)
Helsinki, Uusimaa, Finland
Warsaw, Mazovia, Poland
Ostrava, Moravian-Silesian, Czech Republic
Responsibilities
Design, develop, deploy, and maintain AI agents supporting planning, order fulfilment, customer service, sales, logistics, and business decision‑making
Identify and prioritize opportunities where AI agents and automation can improve supply chain performance and business outcomes
Build human‑AI interfaces, including chat solutions, web applications, approval workflows, and ERP‑integrated assistants
Develop autonomous agent workflows that combine AI reasoning, business rules, and enterprise data
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