Generative AI Engineer

Synergy Business Consulting, Inc.; Ciudad de México; On-site; MXN 1,200,000 - 2,400,000; Full time

Job summary

Synergy Business Consulting, Inc. in Mexico City is seeking Senior AI Engineers on a contract basis to build production-grade agentic AI systems using LLMs and Vision-Language Models for automating visual and media workflows.

This backend-focused role offers ownership of the product end-to-end and welcomes senior and principal candidates. You will develop scalable Python/FastAPI services, design robust data flows, and collaborate across cloud, data, and frontend teams as needed.

Qualifications

• Production experience building agentic AI systems with LLMs/VLMs.
• Experience evaluating AI systems for quality and reliability.
• Strong backend fundamentals: APIs, async workflows, observability and production support.
• Hands-on cloud experience (AWS, Azure and/or GCP).
• Experience with the C4 model and other design artifacts.
• Fluent English, written and spoken.

Responsibilities

• Build agentic harnesses and pipelines: tool use, multi-step reasoning, RAG, streaming, state management and multimodal integration.
• Integrate and evaluate LLMs, VLMs, open-source models and third-party AI APIs.
• Build scalable Python/FastAPI services and production APIs (REST, streaming, async).
• Design event-driven and batch workflows for high-volume job orchestration (queues, EventBridge, DynamoDB Streams).
• Run AI evaluation: eval datasets, regression evals, LLM-as-judge, human-in-the-loop review and production monitoring.
• Work with cloud infrastructure, Terraform and CI/CD (Docker, GitHub Actions).
• Contribute to search and retrieval systems (lexical and embedding-based).
• Contribute to React/TypeScript frontends when needed.

Skills

Agentic AI systems

LLMs / VLMs

Backend development

AWS/Azure/GCP

API design

C4 model design

Tools

Terraform

FastAPI

Docker

OpenAI Agents SDK

LangGraph

Job description

Our client is hiring Senior AI Engineers in Mexico City on a contract basis. You will build production agentic AI systems that use LLMs and Vision-Language Models to automate visual and media workflows. The role is backend-focused, with room to own the product end to end. Senior and principal-level candidates are welcome. Fluent English is required.

What you’ll do

• Build agentic harnesses and pipelines: tool use, multi-step reasoning, RAG, streaming, state management and multimodal integration.
• Integrate and evaluate LLMs, VLMs, open-source models and third-party AI APIs.
• Build scalable Python/FastAPI services and production APIs (REST, streaming, async).
• Design event-driven and batch workflows for high-volume job orchestration (queues, EventBridge, DynamoDB Streams).
• Run AI evaluation: eval datasets, regression evals, LLM-as-judge, human-in-the-loop review and production monitoring.
• Work with cloud infrastructure, Terraform and CI/CD (Docker, GitHub Actions).
• Contribute to search and retrieval systems (lexical and embedding-based).
• Contribute to React/TypeScript frontends when needed.

What you bring

• Production experience building agentic AI systems with LLMs/VLMs, beyond prototypes.
• Experience evaluating AI systems for quality and reliability.
• Strong backend fundamentals: APIs, async workflows, observability and production support.
• Hands-on cloud experience (AWS, Azure and/or GCP).
• Experience with the C4 model and other design artifacts.
• Fluent English, written and spoken.

Nice to have

• Technical lead or principal engineer experience, including mentoring.
• Search and information retrieval at scale (Elasticsearch, OpenSearch, vector search).
• Digital or broadcast media workflows; video or multimodal AI.
• Terraform and serverless architecture.
• Agent frameworks: LangGraph, OpenAI Agents SDK, Google ADK.
• Image/video tools (FFmpeg, OpenCV); fine-tuning experience (LoRA, PEFT).