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

Use this summary to align your resume positioning with the role.

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 evaluations and automated testing.

Highest-signal resume keywords

Python ProgrammingConversational AI DevelopmentRetrieval-Augmented Generation (RAG)API Development and ManagementCloud Platform Experience

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

PythonMachine Learning FundamentalsREST API DevelopmentDocument ChunkingEmbeddingsVector SearchRate LimitingVersioningSpeech-to-TextText-to-Speech

Soft Skills

Written CommunicationVerbal CommunicationCollaboration

Tools & Technologies

GitDockerMicrosoft AzureAWSGoogle CloudOpenAI APILangChainLangGraphSemantic KernelCRM Integration

Industry Keywords

Conversational AIAI AgentCI/CDEvaluation MetricsVoice Agent TechnologiesIntegration PlatformsMCPCloud AI Certifications

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 engineering, CX design, 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
Candidates with strong foundational knowledge and relevant academic, internship, research, or personal project experience are encouraged to apply
This is an English-speaking role requiring strong written and verbal English communication skills
All resumes must be submitted in English
Nice to have: experience with speech AI or voice agent technologies, familiarity with MCP or integration platforms, CRM/contact center APIs, LLM evaluation tools, and cloud AI or technical certifications

Benefits

Comp & perks

Fully remote opportunity
Opportunity to contribute to AI agents, retrieval systems, integrations, and voice AI applications while developing engineering skills