Details: We are seeking an AI Agentic Developer - to
spearhead our next-generation AI-powered development initiatives.
You'll be responsible for developing cutting-edge solutions
Responsibilities: Designs, develops, deploys, and maintains
AI-powered applications using Python/FastAPI backends,
React/TypeScript frontends, and Google Cloud Vertex AI, while
adhering to development best practices and quality standards. Takes
full end-to-end ownership of assigned GenAI systems, including
architectural decisions, feature delivery, operational readiness,
production support, and cost optimization. Leads by example in
adopting AI-augmented development workflows, demonstrating
effective collaboration with AI coding assistants (Claude Code,
GitHub Copilot) to accelerate delivery and improve code quality.
Works closely with solution engineers, architects, and product
teams to develop technical design specifications and validate that
proposed solutions align with architectural standards,
non-functional requirements, and business needs. Implements LLM
orchestration patterns including prompt engineering,
retrieval-augmented generation (RAG), multi-agent workflows, and
structured output generation. Builds and maintains observability
pipelines for AI systems platforms, including trace analysis, token
usage tracking, cost monitoring, and quality metrics. Provides
technical guidance and mentorship across the team, upskilling
members on agentic development practices, prompt engineering
techniques, and AI tool integration. Performs cross-platform
analysis and trade-off assessments across backend (Python/FastAPI),
frontend (React/TypeScript), and AI services (GCP Vertex AI,
LangFuse) to ensure consistency and identify optimization
opportunities. Responsible for troubleshooting and issue analysis,
as well as coding, testing,



and implementing software enhancements
across the full stack. Ensures timely delivery of AI initiatives,
proactively communicating risks, blockers, and schedule impacts,
and driving resolution to maintain delivery commitments.
Demonstrates exceptional prioritization and multitasking skills to
manage concurrent deliverables across services and platforms,
handle operational requests, and resolve production issues
effectively. Uses observability and monitoring tools (e.g.,
LangFuse, Grafana, Dynatrace, Splunk) to actively review
dashboards, investigate anomalies, monitor AI model performance,
and track cost metrics. Available to support/unblock planned
deployments during off hours as needed. We are excited about you if
you have the following experience: AI Coding Assistants (e.g.,
Claude Code, GitHub Copilot, Cursor, Windsurf) Generative AI
Application Development/Generative AI Design Patterns GenAI cloud
platforms (Google Cloud Vertex AI, Gemini, Anthropic Claude,
OpenAI) LLM Observability and Tracing (LangFuse, LangSmith, or
similar) Prompt Engineering techniques (e.g., chain-of-thought,
few-shot learning, structured outputs) Python, FastAPI, async
programming, Pydantic, SQLAlchemy ORM React, TypeScript, Zustand
state management, Material-UI (MUI) Data visualization libraries
(Recharts, D3.js) MySQL/PostgreSQL databases, query optimization,
Alembic migrations Git, CI/CD, GitHub Actions, ArgoCD Docker and




docker-compose Google Cloud Platform (Vertex AI, Cloud Run,
BigQuery, Cloud Storage, IAM) Authentication and Authorization
(OAuth 2.0, Okta, JWT, RBAC) Kubernetes and container orchestration
Grafana, Prometheus Monitoring Dynatrace + Splunk working knowledge
to setup and monitor service alerts RESTful API Design Patterns,
OpenAPI/Swagger Documentation Experience with markup languages such
as JSON and YAML UV package manager, Poetry, modern Python tooling
Additional Qualifications: Bachelor's or master's degree in
computer science, AI/ML, Information Technology, or equivalent
experience 5+ years of software engineering experience with at
least 2+ years focused on AI/ML or GenAI applications Proven track
record of delivering production AI systems with end-to-end
ownership Expert-level proficiency with AI coding assistants and
agentic development workflows Strong full-stack development skills
across Python and TypeScript/React ecosystems Good communication
skills (verbal and written) with ability to articulate complex AI
concepts to diverse audiences Strong delegation skills with the
ability to receive, prioritize, and execute on delegated tasks
autonomously Proven ability to context-switch between different
codebases, tech stacks, and AI platforms efficiently Leadership
mindset with experience mentoring engineers and driving technical
decisions Being able to seamlessly integrate new AI technologies
and agentic workflows into current work streams Intermediate to
advanced knowledge of microservice design patterns and trade-offs
Understanding of responsible AI practices including bias, safety,
and ethical considerations Experienced on Agile methodology and
tools (Jira, Confluence) Work experience in the Retail industry is
a plus

📌 AI Agentic Developer (México)
🏢 Valce Talent Solutions
📍 México