Junior AI/ML Engineer

This is a fully remote position, open to applicants in United States, +2 more countries.

📋 Description

• Develop 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 leveraging authorized information sources.

• Integrate AI agents with CRM systems, ticketing platforms, databases, and messaging applications.

• Create and oversee APIs, encompassing API gateways, authentication, rate limiting, and version control.

• Assist in developing voice agents utilizing speech-to-text, large language models, and text-to-speech technologies in both English and Spanish.

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

• Deliver and maintain solutions via CI/CD processes, monitoring, and comprehensive documentation.

• Collaborate with full-stack engineers, customer experience designers, and operational teams to transform prototypes into production-ready AI solutions.

• Utilize Microsoft Azure and potentially AWS or Google Cloud platforms.

• Complete all phases of the hiring process: resume evaluation, pre-screen questionnaire, one-way video interview, and live interview.

⛳️ Requirements

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

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

• Experience 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.

• 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, including document chunking, embeddings, vector search, and retrieval tuning.

• Competence in building and utilizing REST APIs, including aspects like authentication, rate limits, and versioning, with some exposure to API gateways.

• Experience connecting systems through webhooks, SDKs, or message queues, such as linking 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.

• Must be based in Colombia or Mexico.

• Strong foundational knowledge, alongside 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), 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 develop engineering skills through practical AI applications.

• Opportunity to contribute to AI agents, retrieval systems, integrations, and voice AI applications.