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Lead AI Agentic Developer

Remote in Argentina, & 3 others
AI Solution Engineering& 14 others
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We are building a Lead AI Agentic Developer role to lead AI-powered engineering initiatives that elevate the retail experience through generative AI. You will own agentic and RAG solutions end-to-end across Python/FastAPI, React/TypeScript, and Google Cloud Vertex AI, with strong observability and cost controls.

Responsibilities
  • Design, build, deploy, and support AI-powered applications using Python/FastAPI backends, React/TypeScript frontends, and Google Cloud Vertex AI while following best practices and quality standards
  • Own GenAI systems end to end, covering architecture choices, feature delivery, operational readiness, production support, and cost optimization
  • Apply AI-augmented engineering workflows and collaborate effectively with AI coding assistants such as Claude Code and GitHub Copilot to speed delivery and improve code quality
  • Collaborate with solution engineers, architects, and product teams to produce technical design specifications and confirm alignment with architectural standards, non-functional requirements, and business needs
  • Implement LLM orchestration approaches including prompt engineering, retrieval-augmented generation (RAG), multi-agent workflows, and structured-output generation
  • Create and maintain observability pipelines for AI platforms, including trace analysis, token-usage tracking, cost monitoring, and quality metrics
  • Provide technical leadership and mentorship to help teammates grow in agentic development practices, prompt-engineering techniques, and AI-tool integration
  • Evaluate cross-platform trade-offs across backend technologies, frontend technologies, and AI services to maintain architectural consistency and identify optimization opportunities
  • Troubleshoot defects, perform root-cause analysis, and code, test, and deliver full-stack enhancements
  • Communicate risks, blockers, and schedule impacts early to ensure on-time delivery of AI initiatives and drive resolution to protect commitments
  • Coordinate multiple deliverables across services and platforms, handle operational requests, and resolve production issues efficiently
  • Use observability and monitoring tools including LangFuse, Grafana, Dynatrace, and Splunk to review dashboards, investigate anomalies, monitor AI-model performance, and track cost metrics
Requirements
  • Proven background of 5+ years in software development, including hands-on generative AI and agentic development with AI coding assistants such as Claude Code, GitHub Copilot, Cursor, and Windsurf
  • Deep expertise in generative AI application development, GenAI design patterns, and GenAI cloud platforms including Google Cloud Vertex AI, Gemini, Anthropic Claude, and OpenAI
  • Hands-on experience with LLM observability and tracing using Langfuse, LangSmith, or similar platforms
  • Strong skills in prompt-engineering methods such as chain-of-thought prompting, few-shot learning, and structured outputs
  • Solid understanding of LLM orchestration, RAG architectures, multi-agent systems, tool calling, and agent evaluation
  • Advanced proficiency in Python, FastAPI, asynchronous programming, Pydantic, and SQLAlchemy ORM
  • Strong background with MySQL and PostgreSQL, including query optimization and Alembic migrations
  • Practical knowledge of authentication and authorization patterns including OAuth 2.0, Okta, JWT, and role-based access control (RBAC)
  • Proven experience with Docker, Docker Compose, Kubernetes, and container orchestration
  • Hands-on frontend skills with React, TypeScript, Zustand state management, and Material UI (MUI)
  • Working knowledge of data-visualization libraries including Recharts and D3.js
  • Strong experience with Google Cloud Platform, including Vertex AI, Cloud Run, BigQuery, Cloud Storage, and IAM, plus Git, CI/CD, GitHub Actions, and ArgoCD
  • English proficiency at B2 level (Upper-Intermediate) or higher