Senior Staff Engineer - LLM Engineer

Nagarro; México; A distancia; MXN 80,000 - 120,000; Jornada completa

Descripción de la vacante

A digital product engineering company is seeking an experienced LLM Engineer to join their team in Mexico. The ideal candidate will possess strong Python skills, particularly in developing REST APIs, and have extensive experience with LLMs and AI technologies. This role involves enhancing complex applications and collaborating with global teams to deliver high-quality solutions. If you are passionate about leveraging technology for impactful solutions, we want you on our team.

Formación

• Strong experience with Python, especially in building REST APIs.
• 2+ years of experience developing and experimenting with LLMs.
• 8+ years of experience developing APIs with Python.

Responsabilidades

• Enhance and expand a complex, dynamic application.
• Collaborate effectively with Product Owners and stakeholders.
• Deliver high-quality solutions independently.

Conocimientos

Python development

REST API development

Microservices architecture

AI/Machine learning knowledge

Experience with LLM APIs

Problem-solving skills

Security best practices

Herramientas

Docker

Kubernetes

FastAPI

Flask

Descripción del empleo

Overview

Company Description

We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (18000+ experts across 36 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!

Job Description

The LLM Engineer will join an existing development team to enhance and expand a complex, dynamic application. The role requires strong communication skills and technical expertise across the stack. You will collaborate with global teams spanning multiple time zones and actively contribute to ongoing feature development. An ideal candidate is:

• A highly skilled Senior Python engineer and LLM engineer
• Executing both planning and hands-on technical work independently.
• Collaborating effectively with Product Owners and other stakeholders to solve complex problems.
• Working cross-functionally to contribute to impactful solutions across teams.
• Continuously developing your technical expertise and staying up-to-date with new technologies.
• Being passionate, intellectually curious, and driven to expand your skills and knowledge.
• Using a data-driven approach to solve technical challenges and make informed decisions.
• Applying your systems-level thinking, integrating both data science and engineering principles.
• Taking full ownership of the features and projects you work on, delivering high-quality solutions on your own.

Must-Have Skills

• Strong experience with Python, particularly in building REST APIs using frameworks like FastAPI or Flask.
• Expertise in microservices architecture and deployment in containerized environments (e.g., Docker, Kubernetes).
• Strong knowledge in AI, machine learning, and natural language processing
• Strong experience working with key LLM models APIs (e.g. OpenAI, Anthropic) and LLM Frameworks (e.g. LangChain, LlamaIndex)
• Experience with MCP, Model Context Protocol.
• Understanding of multi-agent systems and their applications in complex problem-solving scenarios.
• Experience with RAG concepts and fundamentals (vectorDBs, semantic search, etc.)
• Expertise in implementing RAG systems that combine knowledge bases with generative AI models.
• Experience with prompt writing for various use cases.
• Experience with generative solutions released to prod, at scale, beyond POCs.
• Proficiency with server-side events, event-driven architectures, and messaging systems.
• Strong problem-solving skills and experience debugging and optimizing backend systems.
• Solid understanding of security best practices for backend systems, including authentication and data protection.

Other Qualifications

• 2+ years of experience developing and experimenting with LLMs
• 8+ years of experience developing APIs with Python.

Qualifications

Must have Skills: Generative AI Fundamentals (Strong), Python (Strong), FastAPI (Strong).

Nice-to-Have Skills: Experience with LLM guardrails, Experience with LLM monitoring and observability, Experience developing AI/ML technologies within large and business critical applications.