Accountabilities

Design, build, and deploy AI-powered agents, applications, and automation workflows that help Product, Product Marketing, and Design teams improve productivity and focus on higher-value activities.
Identify repetitive manual processes and transform them into intelligent automations, enabling teams to operate more efficiently and scale their output without increasing operational overhead.
Work directly with embedded product and business teams to understand their challenges, identify underlying needs, and translate informal requests into effective technical solutions.
Develop agentic solutions using advanced AI models and technologies, including Model Context Protocol (MCP), retrieval systems, evaluation frameworks, and observability tools.
Build applications that provide teams with direct access to customer insights, business intelligence, and relevant data to support better-informed product and marketing decisions.
Develop and maintain reusable AI components, shared agents, internal applications, and automation frameworks that accelerate future development and reduce duplicated engineering effort.
Take ownership of the complete development lifecycle, from identifying opportunities and defining requirements to prototyping, deployment, monitoring, and continuous improvement.
Rapidly transform early-stage ideas into functional prototypes, enabling stakeholders to test and evaluate working solutions within hours rather than relying on lengthy specifications.
Deliver production improvements and fixes to shared AI agents and applications quickly, responding to user feedback and maintaining high standards of reliability and usability.
Collaborate with Engineering teams to follow established technical standards, participate in code reviews, and leverage shared infrastructure to ensure production quality and long-term maintainability.
Build strong relationships with non-technical users, ensuring that the AI solutions developed are intuitive, practical, reliable, and consistently adopted in everyday workflows.
Evaluate where AI automation can generate meaningful value and exercise sound technical judgment when traditional software solutions or human intervention are more appropriate.
Use AI-assisted development tools daily to accelerate coding, experimentation, debugging, and solution delivery.
Establish priorities independently, manage ambiguous technical challenges, and drive initiatives forward with minimal supervision.
Contribute to a culture of rapid experimentation, continuous feedback, documentation, and engineering excellence across a globally distributed team.

Requirements

Strong software engineering experience with Python or TypeScript, including the ability to develop, maintain, and deploy production-quality code rather than relying exclusively on low-code automation platforms.
Advanced practical expertise in artificial intelligence and modern AI development, with daily experience building agentic applications using current frontier models.
Hands-on experience with key AI engineering technologies and concepts, including Model Context Protocol (MCP), retrieval-augmented generation (RAG), model evaluation (evals), and observability.
Demonstrated ability to design, develop, and deploy production-ready AI agents, intelligent applications, and automated workflows that solve real business problems.
A portfolio or concrete examples of AI-powered solutions you have personally built, demonstrating technical depth, practical application, and measurable impact.
Proven experience translating requirements from non-technical stakeholders into effective technical solutions, including the ability to identify the underlying problem rather than simply implementing the initial request.
Strong judgment in evaluating when AI is the right solution, understanding its limitations, and determining when alternative approaches are more effective.
Demonstrated experience building AI tools or internal applications that have been successfully adopted and consistently used by non-technical teams.

How Jobgether works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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