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$ cat jobs/senior-ai-engineer-llms-agentic-ai-applaudostudios-8cd545ff54cf.json

Senior AI Engineer (LLMs & Agentic AI)

Applaudostudios·Worldwide·Remote·senior
pythonsqlaillmdata science
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About You You are a Senior AI Engineer passionate about building production-grade LLM applications and agentic AI systems. You thrive in collaborative environments where you design, implement, and optimize AI capabilities that power conversational experiences and intelligent workflows. You enjoy solving complex AI challenges, integrating cutting-edge LLM technologies, and continuously improving production systems through experimentation, evaluation, and engineering best practices. You're comfortable making production design decisions autonomously within a small, lightly-managed team, and defending those decisions directly to engineering leadership. You Bring to Applaudo the Following Competencies: 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 demonstrated ability to reverse-engineer and work within a partially documented, brownfield codebase. Strong collaboration, communication, and problem-solving skills. Demonstrated ability to explain your own technical work in first-person depth under sustained technical questioning, clearly distinguishing what you personally built, what you contributed to, and what you

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