Senior AI Engineer (LLMs & Agentic AI)
Applaudo Studios2 days ago
Remote, BrazilSenior
Responsibilities
- Build and maintain MCP servers, tool definitions, and context-management capabilities.
- Design and implement intent evaluation, classification, and routing workflows with API and data-source orchestration and multi-source aggregation.
- Integrate Anthropic and OpenAI models into production environments.
- Manage prompt versioning, fallback strategies, and LLM performance optimization.
- Develop and maintain evaluation frameworks for model quality and production performance.
- Write SQL against model inputs and outputs to support evaluation and monitoring.
- Support the backend behavior of the chat and MCP interface.
- Collaborate with software engineers and AI specialists to deliver production-ready AI solutions.
- Participate in architecture discussions and contribute to AI platform design.
- Continuously improve AI systems through experimentation, optimization, and engineering best practices.
Requirements
- Senior-level experience building production AI applications with Python and LLM technologies.
- Bachelor’s degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or a related field, or equivalent professional experience.
- Strong proficiency in Python and software engineering best practices.
- Strong SQL skills working with cloud data warehouses.
- Hands-on experience building production-grade LLM and agentic AI applications.
- Experience implementing tool calling, MCP servers, context management, and multi-step orchestration.
- Experience integrating hosted LLM APIs such as Anthropic and OpenAI into production environments.
- Experience with prompt engineering, prompt versioning, fallback strategies, and cost and latency optimization.
- Experience designing intent-classification and routing solutions for natural-language applications.
- Experience building conversational AI solutions or multi-API orchestration workflows.
- Experience developing LLM evaluation methodologies and working in partially documented brownfield codebases.
- Must have personally authored and built an MCP server rather than merely integrated or consumed one.
- Nice-to-have experience includes deploying, fine-tuning, and evaluating open-source models with Hugging Face; GPU acceleration and inference optimization; MLOps practices; vector databases and RAG; applied NLP; and client-facing AI products.
- Professional or conversational English proficiency sufficient for technical interviews, collaboration, and deep-dive discussions.
Categories
About Applaudo Studios
Applaudo Studios provides nearshore software engineering and AI consulting to enterprises, delivering product design, custom development, cloud, and data services from Latin America. Founded in 2013 and headquartered in San Salvador, the privately held firm builds and operates web, mobile, and enterprise systems and supports digital transformation initiatives. Clients engage Applaudo for AI assessments and implementation, scalable delivery teams, and ongoing DevOps and QA support.