Junior AI/ML Engineer

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

📋 Description

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

• Construct retrieval-augmented generation (RAG) pipelines utilizing approved 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 (LLMs), and text-to-speech technologies in both English and Spanish.

• Implement evaluations, automated testing, and safeguards to enhance accuracy, dependability, and safety.

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

• Work collaboratively with engineering, customer experience design, and operations teams to transform prototypes into production-ready solutions.

⛳️ Requirements

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

• Strong proficiency in Python and familiarity with Git, Docker, and basic SQL.

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

• Practical experience utilizing an LLM API, such as OpenAI, Anthropic, Gemini, or Azure OpenAI.

• Experience in developing an AI agent that interfaces with tools or APIs, employing frameworks such as LangChain, LangGraph, or Semantic Kernel.

• Familiarity with building a RAG pipeline, including document chunking, embeddings, vector search, and tuning for retrieval.

• Experience in designing and using REST APIs, including aspects such as authentication, rate limits, and versioning, with some knowledge of API gateways.

• Experience in connecting systems via 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 like precision and recall.

• Proficient in written and spoken English and Spanish.

• Residing in Colombia or Mexico.

• Candidates with a robust foundational knowledge and relevant academic, internship, research, or personal project experience are encouraged to apply.

• 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: knowledge of LLM evaluation tools like Langfuse or Ragas.

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

🏝️ Benefits

• Fully remote working arrangement.

• Opportunity to enhance engineering skills through practical AI applications.

• Chance to contribute to the development of AI agents, retrieval systems, integrations, and voice AI applications.