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 proficiency in Python and experience with cloud platforms. Capable of integrating AI solutions with various systems and ensuring reliability through 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 MetricsAPI GatewaysWebhooks

Tools & Technologies

GitDockerMicrosoft AzureAWSGoogle CloudOpenAI APILangChainLangGraphSemantic KernelCI/CD

Industry Keywords

Conversational AIAI AgentsCRM IntegrationTicketing SystemsMessaging ChannelsAutomated TestingMonitoringDocumentationSpanish Language ProficiencyColombia or Mexico

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, LLMs, 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

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