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Publicado hace 22 días
Senior
Full Stack Engineer AI
$90,000 MXN/mes brutos
*Salario especifico depende del proceso de selección
About You
● You love experimenting with LLMs and AI models and turning them into real-world features.
● You have 5+ years in full-stack roles, ideally with experience delivering AI-first or AI-only platforms or chatbots.
● You thrive in startup contexts: rapid iteration, launching MVPs fast, and learning on the go.
● You care deeply about quality—testing thoroughly, responding swiftly to defects, and prioritizing the user’s experience.
● You have 5+ years in full-stack roles, ideally with experience delivering AI-first or AI-only platforms or chatbots.
● You thrive in startup contexts: rapid iteration, launching MVPs fast, and learning on the go.
● You care deeply about quality—testing thoroughly, responding swiftly to defects, and prioritizing the user’s experience.
What You’ll Be Doing
● Make adding AI steps in flow builders seamless—considering memory, goals, hallucinations, and usability.● Push boundaries of AI + conversation automation. Enable natural WhatsApp chat flows that still support structured tasks.
● Build tooling for users to inspect, test, and iterate their AI agents.
● Work on a Django-based backend alongside React + Tailwind front‑end components.
● Collaborate with product, sales, and support teams using demos, interviews, and support data to guide development.
● Mentor the team in AI-first thinking and agent-driven development.
What We’re Looking For
● A technically curious innovator with a growth mindset and startup speed.● A builder who bridges product and AI, making complex features simple for users.
● A mentor who lifts teammates’ skills in AI-first software design and implementation.
Technical Requirements
Must-Haves
● Proficiency in Python (Django), TypeScript, React, Tailwind.● Experience with PostgreSQL, Redis, REST APIs, microservices (Kubernetes), GraphQL.
● Familiarity with modern tooling: GitLab, Vault, Grafana, Sentry, Datadog, AWS, Posthog.
Nice-to-Haves
● Background in products where market-leading AI models are productized rather than trained in-house.Skills
Python
TypeScript
ReactJS
PostgreSQL
REST API
