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Artificial Intelligence Engineer

Fudo Partners

Applied AI Engineer | LLMs, AI Agents & Production Systems Location: New York City | Working model: We’re partnering with a profitable, high-growth AI software company building intelligent systems that transform how organisations conduct research, analyse information and make decisions. Its platform combines frontier LLMs, proprietary data and agentic workflows to automate complex research and analysis for leading organisations across financial services and consulting. The company is looking for an Applied AI Engineer to take AI systems from experimentation through to production. You’ll build and improve LLM-powered applications, AI agents and evaluation frameworks, working closely with engineering, product and customer-facing teams. This is a hands-on opportunity to solve challenging AI problems, experiment with new approaches and influence product direction. Build production applications using frontier models, APIs and model orchestration. AI agents: Build testing frameworks and feedback loops to improve AI quality and reliability. Develop RAG, embeddings and information extraction systems. Experiment with prompts, models and architectures to improve performance, latency and cost. Build reliable AI services with robust monitoring and observability. Proven experience shipping LLM-powered applications into production. Strong Python and backend engineering skills. Knowledge of AI agents, tool calling, RAG or workflow automation. Experience with evaluation, testing and improving AI system performance. Experience with voice AI, transcription, multimodal models or self-improving AI systems is a plus. Work on sophisticated AI systems solving commercially important problems. Join a profitable, established AI business with an ambitious engineering team. Keywords: Applied AI Engineer, AI Engineer, LLM Engineer, Machine Learning Engineer, Generative AI, AI Agents, Python, RAG, LLM Evaluation, Prompt Engineering, NLP, Production AI, Model Orchestration.

Vacancy posted 5 days ago
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