AI Engineer

Reposted 4 Days Ago
Be an Early Applicant
Hiring Remotely in MX
Remote
Mid level
Cloud • Information Technology • Software • Consulting
The Role
Design, build, and deploy generative AI solutions and agentic workflows using LLMs. Implement RAG architectures with vector databases, integrate AI services with enterprise systems, deploy AI workloads on AWS, and ensure monitoring, governance, and security for production AI applications.
Summary Generated by Built In

HITSS, the System Integrator of América Móvil Group, with more than 37 years of experience delivering digital solutions and IT services across 8 countries in Latin America and the United States, invites you to join its leading Information Technology team.

💼Job: AI Engineer

📍Location: Mexico / 100% Remote

📅 Employment Type: Full Time

🎓Profile Requirements:

Education: Bachelor's Degree in Computer Systems Engineering, Computer Science, Information Technology, or a related field.

🛠️ Qualifications: 

  • 3+ years of experience in software engineering, cloud engineering, ML engineering, or AI-related roles

  • 1+ years of hands-on experience with Generative AI technologies in a production or near-production context

  • Experience working with OpenAI APIs, Anthropic Claude, and/or AWS Bedrock

  • Experience building RAG-based applications using vector databases (Pinecone, Weaviate, OpenSearch, Chroma, FAISS, or equivalent)

  • Experience developing APIs and automation scripts in Python

  • Knowledge of prompt engineering, AI agents, LLM orchestration, and model evaluation techniques

  • Hands-on experience with AWS cloud environments

  • Familiarity with Git, CI/CD pipelines, and containerization (Docker, Kubernetes)

PREFERRED QUALIFICATIONS

  • Experience implementing enterprise AI solutions in production environments

  • AWS certifications: Solutions Architect, Machine Learning Specialty, or AI Practitioner

  • Experience with LangChain, LangGraph, CrewAI, AutoGen, Open WebUI, or MCP (Model Context Protocol)

  • Knowledge of MLOps practices

  • Experience with Kubernetes (EKS) and Docker

  • Exposure to enterprise security, compliance, and AI governance frameworks

  • Background in insurance, banking, healthcare, or other regulated industries

  • Experience building AI copilots, knowledge management tools, or document intelligence platforms

🧩Responsabilities

  • Design and implement Generative AI solutions leveraging LLMs such as GPT, Claude, Llama, and other foundation models

  • Build and deploy Agentic AI workflows using orchestration frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or similar

  • Develop and support Retrieval-Augmented Generation (RAG) architectures using vector databases and enterprise knowledge sources

  • Deploy and manage AI workloads in AWS environments — including Bedrock, SageMaker, Lambda, ECS/EKS, API Gateway, S3, IAM, and CloudWatch

  • Integrate AI services with enterprise applications, APIs, databases, CRMs, ITSM platforms (including ServiceNow), and internal systems

  • Implement monitoring, observability, governance, and security controls for AI applications

  • Collaborate with solution architects, stakeholders, and development teams to define AI use cases and technical requirements

  • Conduct technical workshops, proof-of-concepts, and solution demonstrations

  • Support AI solution deployments, troubleshooting, and ongoing optimization

🧠 Soft Skills

Team work

Responsability

Proactivity

🌟 What we offer?

  • Join a team of experts

  • Contribute to the development and maintenance of the bank’s critical systems.

  • Access professional growth opportunities and continuous learning programs.

Comprehensive Benefits Package:

  • Major Medical Insurance

  • Life Insurance

  • Carso employee benefits and discount program

Skills Required

  • Bachelor's Degree in Computer Systems Engineering, Computer Science, Information Technology, or related field
  • 3+ years in software engineering, cloud engineering, ML engineering, or AI-related roles
  • 1+ years hands-on experience with Generative AI in production or near-production
  • Experience with OpenAI APIs, Anthropic Claude, and/or AWS Bedrock
  • Experience building RAG applications using vector databases (Pinecone, Weaviate, OpenSearch, Chroma, FAISS, or equivalent)
  • Developing APIs and automation scripts in Python
  • Knowledge of prompt engineering, AI agents, LLM orchestration, and model evaluation techniques
  • Hands-on experience with AWS cloud environments
  • Familiarity with Git and CI/CD pipelines
  • Familiarity with containerization using Docker and orchestration with Kubernetes
  • Ability to integrate AI services with enterprise applications, APIs, databases, CRMs, ITSM platforms (e.g., ServiceNow)
  • Implement monitoring, observability, governance, and security controls for AI applications
  • Experience implementing enterprise AI solutions in production environments
  • AWS certifications (Solutions Architect, Machine Learning Specialty, or AI Practitioner)
  • Experience with LangChain, LangGraph, CrewAI, AutoGen, Open WebUI, or MCP
  • Knowledge of MLOps practices
  • Exposure to enterprise security, compliance, and AI governance frameworks
  • Background in regulated industries (insurance, banking, healthcare)
  • Experience building AI copilots, knowledge management tools, or document intelligence platforms
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The Company
12,500 Employees
Year Founded: 1986

What We Do

Global Hitss is a leading system integrator and IT services provider specializing in digital transformation and technology solutions across Latin America and the United States. As part of the América Móvil group, the company offers a comprehensive suite of services, including software development, systems integration, managed services, and IT consulting, helping organizations upgrade their technology ecosystems and achieve strategic business goals.

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