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Resolv Global

Junior AI/ML Engineer

Resolv Global

. Develop conversational AI agents that interact with users, call tools and APIs, and hand conversations off to human agents when needed .

Posted 10/22/2026full-timeRemote • Mexico, ColombiaJuniorWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in developing conversational AI agents and building retrieval-augmented generation pipelines, with strong skills in Python and experience with cloud platforms. Proficient in connecting AI systems with CRMs and APIs while ensuring accuracy and reliability through automated testing and CI/CD practices.

Highest-signal resume keywords
Conversational AI DevelopmentPython ProgrammingCloud Platform ExperienceAPI Development and ManagementBilingual in English and Spanish

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
PythonMachine Learning FundamentalsRAG Pipeline DevelopmentREST API DevelopmentDocument ChunkingEmbeddingsVector SearchEvaluation MetricsSpeech-to-Text TechnologiesLarge Language Models
Tools & Technologies
GitDockerMicrosoft AzureAWSGoogle CloudOpenAI APILangChainLangGraphSemantic KernelAPI Gateways
Certifications & Qualifications
Cloud AI Certifications
Industry Keywords
Conversational AICustomer ExperienceCRM IntegrationTicketing SystemsVoice AgentsAutomated TestingCI/CDWebhooksSDKsMessage Queues

Tech Stack

Tools & technologies
AWSAzureCloudDockerPythonSQL

About the role

Key responsibilities & impact
  • Develop 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
  • Help build voice agents 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 full-stack engineers, CX designers, and operations teams to turn prototypes into production-ready AI-powered customer conversation solutions

Requirements

What you’ll need
  • 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

Comp & perks
  • Fully remote work opportunity
  • Opportunity to contribute to real-world AI applications
  • Opportunity to develop engineering skills
  • Opportunity to work with AI agents, retrieval systems, integrations, and voice AI applications