Applaudo Studios

Senior AI Engineer (LLMs & Agentic AI)

Work from home

Remote role where the employee must remain based in a particular country.

Mexico only

From the listing details: Source listing states candidate location: "Mexico City, CDMX, Mexico, Mexico City, CDMX, mx, Remote"

Employer listed it 12 days ago · Added 10 days ago

First listed 12 days ago and still open.

Salary

Not stated

Location

Mexico only

Work style

Async

Contract

Full-time

Experience

Senior

What the advert says

Quoted word for word from the employer's advert. Where it says nothing, we say so.

Working hours: Strong proficiency in Python and software engineering best practices for production backend services (APIs, async I/O, typing/schema validation, error handling, and testing).
Where you can work from: Strong spoken English (B2+) to discuss technical scenarios live with US-based stakeholders.
Contract: Not mentioned in the advert
Experience asked for: Not mentioned in the advert
Pay: Not mentioned in the advert

Remote flexibility

Work from home

This is a remote role, but the employee must be based in Mexico. It is work from home rather than work from anywhere.

What the employer says

Source listing states candidate location: "Mexico City, CDMX, Mexico, Mexico City, CDMX, mx, Remote"
Job description states: "US-based"

What Nomaders makes of it

Payroll and tax are likely handled in that country only

The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.

Before you apply

Questions worth asking: Nomaders interpretation

No pay is stated. Ask for the salary range before investing time in interviews.
The advert does not say whether this is employment or a contractor arrangement. Ask, as it affects tax and benefits.

Produced automatically from this advert's text; not reviewed by a person. The employer's own page is the final word.

About the role

About You

You are a Senior AI Engineer passionate about building production-grade LLM applications and agentic AI systems. You thrive in collaborative environments where you design, implement, and optimize AI capabilities that power conversational experiences and intelligent workflows.

You enjoy solving complex AI challenges, integrating cutting-edge LLM technologies, and continuously improving production systems through experimentation, evaluation, and engineering best practices. You're comfortable making production design decisions autonomously within a small, lightly-managed team, and defending those decisions directly to engineering leadership.

Note: This role operates under a contractor model and requires availability to work in the U.S. Eastern Daylight Time (EDT).

You Bring to Applaudo the Following Competencies:

Bachelor's Degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or a related field is desired, or equivalent professional experience.

Strong proficiency in Python and software engineering best practices for production backend services (APIs, async I/O, typing/schema validation, error handling, and testing).

Strong SQL skills working with cloud data warehouses (Snowflake preferred).

Hands-on experience building production-grade LLM and agentic AI applications.

Hands-on experience building and deploying MCP servers in production (server-side, consumed by other users or systems), including tool and resource definitions, context management, and multi-step orchestration.

Understanding of MCP transports (stdio vs. Streamable HTTP) and authentication/authorization patterns for remote servers (OAuth/OIDC, scoped and resource-level access).

Experience integrating hosted LLM APIs such as Anthropic and OpenAI into production environments.

Experience with prompt engineering, prompt versioning, fallback strategies, and cost/latency optimization, with direct ownership of these concerns in production.

Experience designing intent classification and routing solutions for natural language applications, resolving user intent into the correct API and data-source calls.

Experience building conversational AI solutions or multi-API orchestration workflows.

Experience developing LLM evaluation methodologies and demonstrated ability to reverse-engineer and work within a partially documented, brownfield Python codebase.

Strong collaboration, communication, and problem-solving skills.

Demonstrated ability to explain your own technical work in first-person depth under sustained technical questioning, clearly distinguishing what you personally built, what you contributed to, and what you only observed.

Strong spoken English (B2+) to discuss technical scenarios live with US-based stakeholders.

Nice to Have:

Experience deploying, fine-tuning, and evaluating open-source models using Hugging Face.

Experience with GPU acceleration and inference optimization.

Experience implementing MLOps practices, including CI/CD, observability, and reproducible pipelines.

Requirements

·Note: This role operates under a contractor model and requires availability to work in the U.S. Eastern Daylight Time (EDT).
·You Bring to Applaudo the Following Competencies:
·Bachelor's Degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or a related field is desired, or equivalent professional experience.

Benefits

No benefits package published with this listing. Ask about it at first interview.

How to apply

1Check the flexibility label above, work from home, matches where you plan to live and work.
2Tailor your CV to the role at Applaudo Studios, mentioning your remote working experience and working hours (Async).
3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.

Found 11d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.

Listing sourced from Company boards.

Pay not stated · You'll be taken to the employer's careers page.