Junior AI/ML Engineer

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

📋 Description

• Create conversational AI agents that engage with users, utilize tools and APIs, and transfer dialogues to human agents as necessary.

• Construct retrieval-augmented generation (RAG) pipelines utilizing authorized information sources.

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

• Develop and oversee APIs, encompassing API gateways, authentication, rate limitations, and version control.

• Assist in the development of voice agents employing speech-to-text, large language models, and text-to-speech technologies in both English and Spanish.

• Leverage evaluations, automated testing, and safety protocols to enhance accuracy, dependability, and security.

• Deploy and sustain solutions via CI/CD processes, monitoring, and comprehensive documentation.

• Collaborate with full-stack developers, customer experience (CX) designers, and operational teams to transform prototypes into production-ready AI-driven customer interaction solutions.

⛳️ Requirements

• 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 fundamental SQL.

• Familiarity with at least one cloud platform: Microsoft Azure, AWS, or Google Cloud.

• Practical experience with a large language model (LLM) API, such as OpenAI, Anthropic, Gemini, or Azure OpenAI.

• Experience in building an AI agent that interacts with tools or APIs, using frameworks like LangChain, LangGraph, or Semantic Kernel.

• Knowledge in developing a RAG pipeline, including document chunking, embeddings, vector search, and retrieval tuning.

• Proficiency in constructing and consuming REST APIs, including aspects like authentication, rate limits, and versioning, with some exposure to API gateways.

• Experience in connecting systems through webhooks, SDKs, or message queues, such as integrating an application with a CRM or database.

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

• Fluent in written and spoken English and Spanish.

• Residing in Colombia or Mexico.

• Strong foundational knowledge paired 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 such as Langfuse or Ragas.

• Nice to have: cloud AI certifications or other relevant technical certifications.

🏝️ Benefits

• Fully remote work environment.

• Opportunity to contribute to practical AI applications and enhance engineering skills.

• Chance to work on AI agents, retrieval systems, integrations, and voice AI applications.