Junior AI/ML Engineer

Job not on LinkedIn

🔥 5 minutes ago

🌐 Mexico, Colombia – Remote

🇲🇽 Mexico – Remote 🇨🇴 Colombia – Remote

⏰ Full Time

🟢 Junior

🤖 Machine Learning Engineer

🚫👨‍🎓 No degree required

👻 Ghost score 22%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Resolv Global

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2022

💼 Consulting

🤝 B2B

🎯 Recruiter

Consulting • B2B • Recruitment

Resolv Global is a global BPO and staffing provider that delivers scalable, multilingual customer service, technical support, and back-office solutions through a network of six delivery centers and remote teams across multiple continents. The company supports 18+ languages, offers hybrid and work-from-home staffing models, and provides 24/7 coverage for enterprise clients, including Fortune 500 companies. Resolv Global focuses on people-powered, tech-enabled workforce solutions to help businesses expand into new markets and maintain consistent service quality worldwide.

📋 Description

• Build conversational AI agents that interact with users, call tools and APIs, and hand conversations off to human agents when needed • Build retrieval-augmented generation (RAG) pipelines using approved information sources • Connect AI agents with CRMs, ticketing systems, databases, and messaging channels • Build and manage APIs, including API gateways, authentication, rate limits, and versioning • Support voice AI development using speech-to-text, large language models, and text-to-speech in English and Spanish • Use evaluations, automated tests, and guardrails to improve accuracy, reliability, and safety • Ship and maintain solutions through CI/CD, monitoring, and documentation • Collaborate with engineering, CX design, and operations teams to turn prototypes into production-ready solutions

🎯 Requirements

• 1–3 years of experience in software engineering or ML engineering; relevant internships and research experience count • Solid Python skills and familiarity with Git, Docker, and basic SQL • Experience with at least one cloud platform: Microsoft Azure, AWS, or Google Cloud • Hands-on experience with an LLM API, such as OpenAI, Anthropic, Gemini, or Azure OpenAI • Experience building an AI agent that calls tools or APIs, using a framework such as LangChain, LangGraph, or Semantic Kernel • Experience building a RAG pipeline, including document chunking, embeddings, vector search, and retrieval tuning • Experience building and consuming REST APIs, including authentication, rate limits, and versioning, with some exposure to API gateways • Experience connecting systems through webhooks, SDKs, or message queues, such as integrating an application with a CRM or database • Understanding of ML fundamentals, including embeddings, train/test splits, and evaluation metrics such as precision and recall • Professional written and spoken English and Spanish • Based in Colombia or Mexico • Strong foundational knowledge and relevant academic, internship, research, or personal project experience encouraged • Nice to have: experience with speech AI or voice agent technologies, such as Azure AI Speech, Whisper, LiveKit, or Pipecat • Nice to have: familiarity with the Model Context Protocol (MCP), Azure Logic Apps, or n8n • Nice to have: experience with CRM and contact center APIs, including Dynamics 365, Salesforce, or Zendesk • Nice to have: familiarity with LLM evaluation tools such as Langfuse or Ragas • Nice to have: cloud AI certifications or other relevant technical certifications

🏖️ Benefits

• Fully remote work arrangement • Opportunity to develop engineering skills through real-world AI applications • Opportunity to contribute to AI agents, retrieval systems, integrations, and voice AI applications