Junior AI/ML Engineer

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

📋 Description

• Design and develop conversational AI agents that engage with users, utilize tools and APIs, and transfer conversations to human agents when necessary.

• Create retrieval-augmented generation (RAG) pipelines using authorized information sources.

• Integrate AI agents with customer relationship management (CRM) systems, ticketing solutions, databases, and messaging platforms.

• Develop and oversee APIs, encompassing API gateways, authentication, rate limiting, 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.

• Implement evaluations, automated testing, and safety measures to enhance accuracy, reliability, and security.

• Deliver and maintain solutions through continuous integration/continuous deployment (CI/CD), monitoring, and comprehensive documentation.

• Work in collaboration with full-stack engineers, customer experience (CX) designers, and operations teams to transform prototypes into fully functional AI-driven customer conversation solutions.

⛳️ Requirements

• 1–3 years of experience in software engineering or machine learning engineering; relevant internships and research experiences are considered valuable.

• Proficient in Python with a solid understanding of 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.

• Proven experience in developing an AI agent that interacts with tools or APIs, utilizing a framework like LangChain, LangGraph, or Semantic Kernel.

• Experience in constructing a RAG pipeline, including document chunking, embeddings, vector search, and retrieval optimization.

• Skilled in building and consuming REST APIs, including aspects like authentication, rate limits, and versioning, with some familiarity with API gateways.

• Experience in system integration via webhooks, SDKs, or message queues, such as linking an application with a CRM or database.

• Understanding of machine learning principles, including embeddings, train/test splits, and evaluation metrics such as precision and recall.

• Proficient in both written and spoken English and Spanish.

• Located in Colombia or Mexico.

• Strong foundational knowledge and relevant academic, internship, research, or personal project experiences are encouraged.

• Nice to have: experience with speech AI or voice agent technologies like 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

• Fully remote work opportunity.

• Chance to contribute to practical AI applications.

• Opportunity to enhance engineering skills.

• Experience working with AI agents, retrieval systems, integrations, and voice AI applications.