AI/ML Engineer

  • Mexico City, CDMX
  • Posted 6 hours ago | Updated 6 hours ago

Overview

Remote
Hybrid
$25
Contract - Independent
Contract - 12 Month(s)

Skills

AI/ML
AWS
Python
node.js

Job Details

Overview
The AI/ML Engineer - Contractor will support the company s strategic initiative to modernize and automate core business workflows using AI, ML, and AWS technologies. They will collaborate closely with the AI Innovation/Transformation Team, the Architect AWS & AI, and cross-functional engineering groups to accelerate experimentation, proof-of-concept (POC) delivery, and productionize AI-driven solutions.
This role is ideal for an experienced hands-on technologist who can move fast, work independently, and deliver practical AI integrations that improve efficiency, intelligence, and scalability across systems.

Key Responsibilities
Assist in designing, developing, and deploying AI/ML pipelines using AWS (SageMaker, Bedrock, Lambda, ECS, S3).
Collaborate to build RAG-based LLM systems and agentic workflows (tool-calling, decision-making, multi-step orchestration).
Contribute to AI model evaluation, prompt tuning, and observability (accuracy, latency, cost).
Support implementation of guardrails, prompt filters, and evaluation frameworks for responsible model behavior.
Integrate AI systems with existing applications, APIs, and external data sources (OEM, DMS, internal APIs).
Develop prototypes and POCs for new AI use cases (document understanding, recall automation, intelligent assistants).
Document design approaches, integration flows, and POC learnings for production scaling.
Participate in architecture discussions, providing feedback for consistency and scalability.

Qualifications
Bachelor's or Master's in Computer Science, Data Science, Engineering, or equivalent experience.
3 7 years in software development, data engineering, or AI/ML integration.
Hands-on experience with LLMs, RAG, and prompt engineering (OpenAI, Bedrock, Anthropic, or similar).
Familiarity with vector databases (e.g., OpenSearch, Pinecone, FAISS) and embedding pipelines.
Proficient in Python or Node.js; experience building APIs and data pipelines.
Exposure to AWS services (Lambda, ECS, SageMaker, S3) for AI/ML deployment.
Understanding of data governance, red-teaming, and AI safety principles.
Strong ability to work independently, manage multiple priorities, and deliver in a fast-paced, startup-like environment.

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