Junior AI/ML Engineer

Resolv Global

. Build 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 building and managing conversational AI agents, integrating with various systems, and developing retrieval-augmented generation pipelines. Proficient in Python, cloud platforms, and API management, with strong bilingual communication skills in English and Spanish.

Highest-signal resume keywords

Conversational AI DevelopmentPython ProgrammingAPI ManagementCloud Platform ExperienceBilingual Communication

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 FundamentalsRAG Pipeline DevelopmentREST API DevelopmentDocument ChunkingEmbeddingsVector SearchEvaluation MetricsSpeech-to-TextText-to-Speech

Tools & Technologies

GitDockerMicrosoft AzureAWSGoogle CloudOpenAI APILangChainLangGraphCRM IntegrationAPI Gateways

Certifications & Qualifications

Cloud AI Certifications

Industry Keywords

Conversational AIVoice AITicketing SystemsCRM APIsContact Center APIsAutomated TestingCI/CDMonitoringGuardrailsLanguage Processing

Tech Stack

Tools & technologies

AWSAzureCloudDockerPythonSQL

About the role

Key responsibilities & impact

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, LLMs, 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 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
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