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 • Colombia, MexicoJuniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing conversational AI agents and integrating them with various systems, utilizing strong Python skills and experience with cloud platforms. Proficient in building retrieval-augmented generation pipelines and REST APIs while ensuring accuracy and reliability through evaluations and automated testing.

Highest-signal resume keywords

Conversational AI DevelopmentPython ProgrammingCloud Platform ExperienceAPI Development and IntegrationBilingual 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 APILangChainLangGraphAPI GatewaysCRM Integration

Certifications & Qualifications

Cloud AI Certifications

Industry Keywords

Conversational AICustomer ExperienceTicketing SystemsVoice AgentsCI/CDMonitoringDocumentationWebhooksSDKsMessage 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
Integrate 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
Deploy 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) or integration platforms such as 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 arrangement
Opportunity to contribute to real-world AI applications and develop engineering skills
Opportunity to work on AI agents, retrieval systems, integrations, and voice AI applications