
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 seamlessly transfer conversations to human representatives when necessary.
• Create retrieval-augmented generation (RAG) pipelines utilizing approved information sources.
• Integrate AI agents with CRMs, ticketing systems, databases, and various messaging channels.
• Design and manage APIs, including API gateways, authentication processes, rate limiting, and versioning.
• Assist in voice AI development employing speech-to-text, LLMs, and text-to-speech technologies in both English and Spanish.
• Leverage evaluations, automated testing, and guardrails to enhance accuracy, reliability, and safety.
• Deploy and maintain solutions through CI/CD practices, monitoring, and documentation.
• Work collaboratively with engineering, CX design, and operations teams to transform prototypes into production-ready solutions.
• 1–3 years of experience in software engineering or ML engineering; relevant internships and research experience will be considered.
• Proficient in Python and familiar with Git, Docker, and basic SQL.
• Experience with at least one cloud service provider: Microsoft Azure, AWS, or Google Cloud.
• Practical experience with an LLM API, such as OpenAI, Anthropic, Gemini, or Azure OpenAI.
• Proven experience in building an AI agent that interacts with tools or APIs, using frameworks like LangChain, LangGraph, or Semantic Kernel.
• Experience in constructing a RAG pipeline, which includes document chunking, embeddings, vector search, and retrieval tuning.
• Skilled in building and consuming REST APIs, including aspects like authentication, rate limiting, and versioning, with some exposure to API gateways.
• Familiarity with connecting systems via webhooks, SDKs, or message queues, including integrating applications with CRMs or databases.
• Understanding of ML principles, including embeddings, train/test splits, and evaluation metrics such as precision and recall.
• Proficient in both written and spoken English and Spanish.
• Residing in Colombia or Mexico.
• Candidates with a strong foundational knowledge and relevant academic, internship, research, or personal project experience are encouraged to apply.
• Preferred: experience with speech AI or voice agent technologies, familiarity with MCP or Azure Logic Apps/n8n, CRM and contact center APIs, LLM evaluation tools, and cloud AI or technical certifications.
• Fully remote work arrangement.
• Opportunity to enhance engineering skills through real-world AI applications.
• Chance to contribute to AI agents, retrieval systems, integrations, and voice AI applications.
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