Are you looking to work for an innovative and exciting U.S.-based AI company, 100% remotely?

We are looking for a highly skilled and proactive AI Engineer (Agentic AI & RAG) to join a fast-growing AI automation company serving home-service contractors across the United States.

We are seeking a strong mid-level engineer with hands-on experience building and shipping production AI systems. You will work directly with the Founder to design, develop, and deploy AI agents, multi-step workflows, and Retrieval-Augmented Generation (RAG) systems that solve real business problems.

This is a full-time, fully remote position for candidates based in Latin America. Candidates must be available for at least 4 hours of daily overlap with U.S. Eastern Time.

ALL RESUMES MUST BE SUBMITTED IN ENGLISH

Responsibilities:

- Design, build, and deploy production-ready AI agents and multi-step workflows.
- Develop agentic systems using frameworks and technologies such as LangGraph, CrewAI, MCP, tool calling, and function calling.
- Build and optimize RAG pipelines, including document ingestion, chunking, embeddings, vector databases, and retrieval.
- Evaluate and improve retrieval quality and overall AI system performance.
- Identify and solve production issues such as poor retrieval, runaway tool loops, latency, and unexpected cost spikes.
- Work directly with the Founder to translate business requirements into scalable AI solutions.
- Maintain secure development practices, including proper secrets handling, access control, and data minimization.
- Work directly within the client's repositories, infrastructure, and technology stack.




- Take ownership of AI systems from development through production deployment and ongoing optimization.-

Requirements:

- Fluent English — YOU MUST BE ABLE TO HAVE A FLUENT PROFESSIONAL CONVERSATION IN ENGLISH.
- 2–5+ years of professional software development experience using Python and/or TypeScript/Node.js.
- Proven hands-on experience building and shipping Agentic AI systems into production , not only personal projects, courses, or tutorials.
- Experience with technologies such as LangGraph, CrewAI, MCP, tool/function calling, and multi-step agent orchestration.
- Proven production experience with Retrieval-Augmented Generation (RAG) .
- Strong understanding of document ingestion, chunking strategies, embeddings, retrieval, and vector databases such as Pinecone, Weaviate, Chroma, or pgvector.
- Experience evaluating and improving retrieval quality and AI system performance .
- Ability to troubleshoot real-world production AI failure modes.
- Strong software engineering and secure development practices.
- Ability to work independently, take ownership, and collaborate directly with company leadership.
- Availability for at least 4 hours of daily overlap with U.S. Eastern Time.

Nice to Have:

- Experience building Voice AI solutions.
- Experience with Twilio and/or ElevenLabs .
- Experience integrating AI agents with external APIs, CRMs, business systems, or automation platforms.
- Experience working in a startup or fast-moving AI environment.

Important: Candidates should have real production AI projects they can discuss in detail, including AI agents and RAG systems they personally helped design, build, and deploy.

📌 AI Engineer (Agentic AI & RAG), (Medellín)
🏢 Teilur Talent
📍 Medellín