
Junior AI/ML Engineer
Posted Oct 22

Posted Oct 22
This is a fully remote position, open to applicants in Mexico, +1 more country.
• Develop conversational AI agents that engage with users, utilize tools and APIs, and transition conversations to human agents when necessary.
• Construct retrieval-augmented generation (RAG) pipelines utilizing approved information sources.
• Integrate AI agents with CRMs, ticketing systems, databases, and messaging platforms.
• Design and oversee APIs, encompassing API gateways, authentication, rate limitations, and version control.
• Assist in creating voice agents utilizing speech-to-text, large language models, and text-to-speech technologies in both English and Spanish.
• Employ evaluations, automated testing, and safety measures to enhance accuracy, reliability, and security.
• Deliver and sustain solutions through CI/CD processes, monitoring, and thorough documentation.
• Collaborate with full-stack engineers, CX designers, and operations teams to transform prototypes into production-ready AI-driven customer conversation solutions.
• 1–3 years of experience in software engineering or machine learning engineering; relevant internships and research experience are considered.
• Proficient in Python and knowledgeable in Git, Docker, and basic SQL.
• Experience with at least one cloud platform: Microsoft Azure, AWS, or Google Cloud.
• Practical experience with an LLM API, such as OpenAI, Anthropic, Gemini, or Azure OpenAI.
• Background in building an AI agent that interacts with tools or APIs, using frameworks like LangChain, LangGraph, or Semantic Kernel.
• Familiarity with constructing a RAG pipeline, including document chunking, embeddings, vector search, and retrieval tuning.
• Experience in building and utilizing REST APIs, including authentication, rate limits, and version control, with some exposure to API gateways.
• Knowledge in connecting systems via webhooks, SDKs, or message queues, such as integrating applications with CRMs or databases.
• Understanding of machine learning fundamentals, including embeddings, train/test splits, and evaluation metrics like precision and recall.
• Professional proficiency in written and spoken English and Spanish.
• Residing in Colombia or Mexico.
• Strong foundational knowledge along with relevant academic, internship, research, or personal project experience is 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 like 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 like Langfuse or Ragas.
• Nice to have: cloud AI certifications or other relevant technical certifications.
• Fully remote work opportunity.
• Chance to contribute to real-world AI applications.
• Opportunity to enhance engineering skills.
• Experience working with AI agents, retrieval systems, integrations, and voice AI applications.
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