Junior AI/ML Engineer

Posted Oct 22

This is a fully remote position, open to applicants in Colombia, +1 more country.

πŸ“‹ Description

β€’ Develop conversational AI agents that engage with users, utilize tools and APIs, and seamlessly transition conversations to human agents when necessary.

β€’ Create retrieval-augmented generation (RAG) pipelines leveraging approved information resources.

β€’ Integrate AI agents with CRMs, ticketing systems, databases, and various messaging platforms.

β€’ Design and manage APIs, including API gateways, authentication protocols, rate limits, and version control.

β€’ Assist in the development of voice agents employing speech-to-text, large language models (LLMs), and text-to-speech technologies in both English and Spanish.

β€’ Implement evaluations, automated testing, and safety guardrails to enhance accuracy, reliability, and security.

β€’ Deploy and support solutions through continuous integration and delivery (CI/CD), monitoring, and comprehensive documentation.

β€’ Collaborate with engineering, customer experience design, and operations teams to transition prototypes into production-ready solutions.


⛳️ Requirements

β€’ 1–3 years of experience in software engineering or machine learning engineering; relevant internships and research experience are also considered.

β€’ Proficient in Python and familiar with Git, Docker, and basic SQL.

β€’ Experience with at least one cloud service provider: Microsoft Azure, AWS, or Google Cloud.

β€’ Hands-on experience with an LLM API, such as OpenAI, Anthropic, Gemini, or Azure OpenAI.

β€’ Proven experience in building an AI agent capable of calling tools or APIs, using frameworks like LangChain, LangGraph, or Semantic Kernel.

β€’ Expertise in constructing a RAG pipeline, which includes document chunking, embeddings, vector search, and retrieval tuning.

β€’ Experience in developing and utilizing REST APIs, including authentication, rate limits, and versioning, with some exposure to API gateways.

β€’ Familiarity with connecting systems via webhooks, SDKs, or message queues, such as integrating an application with a CRM or database.

β€’ Understanding of machine learning fundamentals, including embeddings, train/test splits, and evaluation metrics like precision and recall.

β€’ Proficient in written and spoken English and Spanish.

β€’ Must reside in Colombia or Mexico.

β€’ Strong foundational knowledge and relevant academic, internship, research, or personal project experience are encouraged.

β€’ Nice to have: experience with speech AI or voice agent technologies such as Azure AI Speech, Whisper, LiveKit, or Pipecat.

β€’ Nice to have: familiarity with MCP, Azure Logic Apps, or n8n.

β€’ Nice to have: experience with CRM and contact center APIs, including Dynamics 365, Salesforce, or Zendesk.

β€’ Nice to have: familiarity with LLM evaluation tools such as Langfuse or Ragas.

β€’ Nice to have: cloud AI certifications or other pertinent technical certifications.

β€’ Strong written and verbal communication skills in English; resumes must be submitted in English.


🏝️ Benefits

β€’ Fully remote work opportunity.

β€’ Chance to enhance engineering skills through practical AI applications.

β€’ Opportunity to contribute to the development of AI agents, retrieval systems, integrations, and voice AI applications.

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