Senior Python Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Python Engineer (AI): Designing and deploying production ML/AI services and scalable cloud-native backends with an accent on LLM integration and event-driven architectures. Focus on building resilient inference pipelines, architecting GCP-based microservices, and transitioning AI prototypes into production-grade services.
Location: Remote (Must be based in Mexico or any LATAM country)
Company
is a California-based company that connects top Latin American tech talent with U.S. companies.
What you will do
- Design, develop, and deploy end-to-end production ML/AI services and client-facing APIs.
- Build real-time, event-driven architectures utilizing Cloud Functions, Cloud Run, Kubernetes, and Pub/Sub on GCP.
- Integrate transformer-based models and LLMs into scalable inference pipelines, including prompt engineering and output formatting.
- Lead technical architecture design sessions and drive projects from concept to production.
- Champion engineering best practices, including CI/CD, observability, testing, and infrastructure-as-code.
- Collaborate with product owners and data scientists to align priorities and deliver iterative features.
Requirements
- 4–6+ years of professional backend or full-stack software engineering experience with a strong Python focus.
- Proven track record of designing and deploying cloud-native applications (GCP strongly preferred).
- Experience building resilient event-driven microservices and RESTful/gRPC APIs.
- Proficiency with Docker, Kubernetes, and serverless paradigms, as well as SOLID design principles.
- Advanced English communication skills.
- Must be based in Mexico or any LATAM country.
Nice to have
- Experience deploying and serving ML models or LLMs in production.
- Familiarity with Prompt Engineering, Retrieval-Augmented Generation (RAG), vector search, or fine-tuning.
- Exposure to AI orchestration frameworks such as LangChain or Google ADK.
- Experience with infrastructure-as-code tools like Terraform or Pulumi.
Culture & Benefits
- Opportunity to work remotely for a U.S.-based company.
- Work within a cross-functional, agile team environment.
- Direct impact on the development of intelligent products used by real customers.
- Encouraged use of AI tools to accelerate development throughput.
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