• Build end-to-end solutions: Develop and deploy AI-powered applications that connect source data, models, APIs and enterprise systems to real users.

• Stay hands-on: Write, test, review and maintain code using technologies such as Python, TypeScript, Java or .NET.

• Work directly with users: Understand operational challenges, observe how people work and translate their needs into practical technical solutions.

• Integrate with enterprise environments: Connect applications to APIs, identity systems, cloud platforms and existing business systems, addressing the realities of production deployment.

• Deliver production-ready AI: Build and integrate LLM, RAG or agentic capabilities, with appropriate evaluation, guardrails, reliability and cost controls.

• Own deployment and rollout: Take technical responsibility for bringing solutions into production, resolving integration issues and supporting adoption.

• Adapt as needs evolve: Respond to new information and changing priorities, iterating quickly while maintaining technical quality and clear communication.

• Measure outcomes: Work with clients to understand whether the solution is delivering the intended result and identify what needs to improve.

• Feed the next cycle: Document results, lessons learned and emerging requirements so the squad can make informed decisions about the next iteration or scaling the solution.

👤 Who You Are

• You are curious, analytical, and motivated by solving meaningful business challenges.

• You enjoy turning complexity into clarity and action.

• You balance technical thinking with business understanding.

• You are comfortable working in collaborative and international environments.

• You take ownership of your work and follow through on commitments.

• You value continuous learning and are motivated by long-term professional growth.

  • You communicate clearly and effectively with a variety of stakeholders.