Techies4tech.ai is hiring a Senior Applied AI Engineer to build and advance applied AI capabilities with a focus on production-oriented language model systems. This role centers on designing, implementing, and improving LLM / RAG pipelines, agentic workflows, and evaluation approaches that support reliable real-world use. The position has senior-level scope, with impact through technical execution and the quality of AI-enabled solutions.
• LLM / RAG pipelines — target L8 (Adv), must-have • Agentic frameworks — target L7 (Adv), must-have • Python — target L8 (Adv), must-have • Prompt & eval design — target L7 (Adv), must-have • Vector databases — target L6 (Prof), nice-to-have • AWS — target L6 (Prof), nice-to-have • AI Build capability — validated by a live work-sample • Working AI leverage — observed and scored, never assumed • 5–8 years of relevant experience
Design, build, and refine LLM / RAG pipelines in Python for applied AI use cases. Develop and improve agentic workflows using agentic frameworks, with attention to reliability and practical performance. Create and iterate on prompt strategies and evaluation approaches to measure and improve output quality. Contribute to the technical implementation of applied AI systems, including retrieval components and, where applicable, supporting infrastructure in AWS and vector database environments.
Techies4tech.ai is a company with limited public profile information provided for this role.
This role offers the opportunity to work at a senior level on applied AI systems with direct influence on how language-model-driven solutions are designed, evaluated, and improved. The scope spans LLM / RAG pipelines, agentic frameworks, Python implementation, and prompt and evaluation design, providing meaningful technical ownership in a focused applied AI position.
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