Senior AI Engineer – LLMs, Agentic AI

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Applaudo

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2013

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

Applaudo is a nearshore software development company that helps businesses accelerate their digital transformation. With over a decade of experience, Applaudo partners with some of the world’s most admired brands to streamline IT solutions, optimize delivery costs, and modernize their digital infrastructure. The company offers a range of services including innovation and experience design, development and maintenance, quality assurance, cloud solutions, artificial intelligence, and cybersecurity. Applaudo is known for its expertise in data solutions and app modernization, and has a strong presence in industries like sports, media and entertainment, retail, consumer packaged goods, and financial services. Headquartered in Austin, TX with offices in San Salvador, Applaudo blends top-tier software development talent with cutting-edge technology to drive business growth for its clients.

📋 Description

• Build and maintain MCP servers, tool definitions, and context management capabilities. • Design and implement intent evaluation, classification, and routing workflows. • Integrate Anthropic and OpenAI models into production environments. • Manage prompt versioning, fallback strategies, and LLM performance optimization. • Develop and maintain evaluation frameworks to validate model quality and production performance. • Collaborate closely 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

• Bachelor’s Degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or a related field is desired, 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/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 within existing codebases. • Strong collaboration, communication, and problem-solving skills. • Professional English proficiency. • Nice to Have: Experience deploying, fine-tuning, and evaluating open-source models using Hugging Face. • Experience with GPU acceleration and inference optimization. • Experience implementing MLOps practices, including CI/CD, observability, and reproducible pipelines. • Experience with vector databases and Retrieval-Augmented Generation (RAG). • Applied NLP experience. • Experience building client-facing AI products. • AWS certification.

🏖️ Benefits

• All your information will be kept confidential according to EEO guidelines.