ironquill.tech/board

$ cat jobs/senior-ai-engineer-blend360-19cd1be66bb8.json

Senior AI Engineer

Blend360·Worldwide·Remote·senior
llmdata science
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Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com We are seeking a Senior AI Engineer to contribute to our next level of growth and expansion. What is this position about? We are looking for a Senior AI Engineer to join our LATAM team in a remote, full-time role. This position is focused on designing, building, and deploying production-ready AI systems that create meaningful impact for our clients. The ideal candidate will work across the full stack of modern AI delivery, including RAG pipelines, agentic frameworks, LLM-powered solutions, evaluation design, and MLOps/LLMOps. This role requires a senior technical voice who can lead end-to-end delivery, mentor other engineers, communicate effectively with stakeholders, and help clients make pragmatic decisions about what AI systems should and should not attempt. As part of this role, you will be responsible for: Leading AI project delivery end to end, ensuring clear governance, strong stakeholder communication, and reliable execution. Designing and building robust RAG systems, agentic frameworks, and LLM-powered solutions suitable for production environments. Applying advanced prompt engineering techniques, including instruction design, few-shot prompting, structured outputs, and tool/agent prompts. Leading feasibility assessments to determine the right technical approach, including prompting, RAG, fine-tuning, classical ML, o

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