Forward Deployed Engineer

Saptiva AI; León; Presencial; MXN 900.000 - 1.200.000; Jornada completa

Descripción de la vacante

Saptiva AI is hiring Forward Deployed Engineers to work closely with customers and land AI solutions from discovery to production. You will be embedded in customer teams, owning use cases end-to-end, handling data, models, UI, and integration with existing systems.

The role demands strong Python, FastAPI, and MLOps experience in production environments. Location in Mexico City or León with hybrid/full-time arrangements.

Formación

• 3+ years of experience as an AI / Software Engineer building systems in production.

Responsabilidades

• Embed with customers and own end-to-end solutions from discovery to production.
• Identify and prioritize AI use cases that deliver measurable value.
• Design, prototype, and deploy data pipelines, models, evaluation, and UI integrations.
• Document, train, and handover to ensure customer adoption.
• Collaborate with Product and Engineering to improve the platform.

Conocimientos

Python

FastAPI

Pydantic

LLM orchestration

MLOps

UI development

Communication

Herramientas

Docker

Kubernetes

Linux

APIs

SQL

SSO/SAML

Descripción del empleo

000 / Job Description

Forward Deployed Engineer.

DELIVERY MEXICO CITY

• LEÓN HYBRID FULL-TIME

At Saptiva AI we are helping regulated enterprises move AI from idea to production. We are looking for Forward Deployed Engineers who work directly with customers to turn real problems into AI systems that are useful, adopted, and measurable.

001 / About the role

Own a use case from discovery to production.

As an FDE, you will be responsible for taking a use case from discovery to production. You will work close to the customer, combining software engineering, product thinking, and the practical application of AI to design and deploy solutions that produce real business impact.

This is not a research role and it is not a delivery-from-afar role. The FDE lands inside the customer's team, builds the thing, and stays until it runs.

002 / What you'll do

Embedded with customers. End-to-end ownership.

• Work embedded with customers (on-site, hybrid, or remote) to understand processes, data, and real business needs.
• Identify and prioritize use cases where AI can generate measurable value.
• Design, prototype, and deploy end-to-end solutions: data, models, evaluation, UI, and integration with existing systems.
• Support customer adoption with documentation, training, and handover.
• Collaborate with Product and Engineering to convert field learnings into platform improvements.
• Measure outcomes and help expand the relationship with new use cases.

003 / What we're looking for

• 3+ years of experience as an AI / Software Engineer building systems in production.
• Strong command of Python — not just notebooks — FastAPI, Pydantic, and experience with LLM orchestration frameworks.
• Working knowledge of GPU compute and machine learning lifecycle management (MLOps).
• Experience building end-to-end RAG solutions and familiarity with agents.
• Solid command of Docker, Kubernetes, Linux, and cloud or on-prem deployments.
• Ability to integrate enterprise systems via APIs, SQL, SSO / SAML, and common connectors.
• Ability to build a functional UI when needed.
• Excellent communication, ownership, and comfort with ambiguity.

004 / Plus

• Prior experience in technical consulting, solutions engineering, sales engineering, or FDE roles.
• Experience in industries like banking, insurance, retail, manufacturing, energy, or government.
• Professional English.
• Experience with fine-tuning, LoRA, and evaluation of open-source models (Llama, Qwen, Mistral, etc).

005 / What we offer

• The opportunity to build from scratch how AI is deployed in regulated enterprises, with direct impact on real customers.
• Significant autonomy to decide, build, and ship solutions that move real business outcomes.
• Work close to the customer, with full visibility into the problem, the execution, and the result.
• A high-velocity environment where shipping, learning, and improving beats polishing slides and processes.
• The chance to define the playbooks, patterns, and standards that will become part of the company's DNA.
• Fast growth in a role that blends AI, software, product, and technical sales into a single function.

006 / Locations

Where the role is based.

We are currently hiring FDEs in two locations. Both are hybrid, with significant in-person time expected — close to the customer is the point of the role.

LOCATION 01

Mexico City

• CDMX

Our HQ and the main customer cluster — tier-1 banks, insurers, and federal government deployments. Most FDE engagements start here.

CDMX

• HYBRID
• FULL-TIME

LOCATION 02

León

• Guanajuato

Regional hub covering Bajío enterprise customers — manufacturing, financial services, and state government. Hybrid with in-person customer time.

LEÓN, GTO

• HYBRID
• FULL-TIME

007 / Apply

Ready to ship AI where it matters?