We are hiring a Senior Applied AI Engineer to design and advance applied AI systems with a focus on production-oriented language model applications. This role centers on building and improving LLM / RAG pipelines, agentic workflows, and evaluation-driven prompt systems using Python. The work has direct impact on how AI capabilities are developed, validated, and delivered in practice.
• 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
Build, refine, and maintain LLM / RAG pipelines in Python for applied AI use cases. Develop agentic workflows and support prompt and evaluation design to improve system quality, reliability, and outcomes. Work across the AI engineering lifecycle to translate applied AI requirements into implemented, tested, and iterated solutions.
Techies4tech.ai is a company with limited public profile information provided for this role.
This role offers the opportunity to work on senior-level applied AI engineering problems with direct ownership across LLM / RAG pipelines, agentic frameworks, and evaluation-driven prompt design. It is well suited to someone who wants to apply strong hands-on Python and applied AI capabilities in a role focused on building practical AI systems.
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