DontApply.Club
Login Register

Full-Stack AI Engineer

Wearehaystack — United States · Posted ~14 hours ago

Mid Full-time

Skills

Full-stack engineering Artificial intelligence Frontend development Backend development LLMs API architecture System design AI agent workflows RAG AI agents Frontend Backend APIs Real-time streaming

🔓 Log in to save this job, tailor your resume & track your apply process — 7 days free, no card needed.

Log in to add to target list

Summary ✨ AI‑Generated

Build end-to-end production AI features across frontend, backend, and intelligent integrations. You will design agent workflows for planning and recovery, integrate LLMs, memory and external tools, and create real-time AI interactions with tight latency requirements. The role also emphasizes system reliability, observability, fallback mechanisms, and close collaboration with ML and product teams.

Highlights

End-to-end engineering role building production-grade AI applications, including agent workflows, LLM integrations, real-time interactions, and reliability systems. The position combines frontend, backend, AI, and product collaboration in a technically ambitious environment.

Description

A pioneering tech company is at the forefront of integrating artificial intelligence into practical, production-grade applications. They are known for building advanced AI systems that solve complex real-world problems and enhance user experiences. The Role Build end-to-end product features across frontend, backend, and AI integrations Design agent workflows for planning, tool use, failure, and recovery Integrate LLMs, memory, and external tools for reliable system behavior Design real-time AI interactions with streaming and tight latency constraints Improve system reliability, observability, and fallback mechanisms Collaborate with ML, backend, and product teams to ship features What You'll Need Strong experience in Full Stack Engineering (Frontend and Backend) Proven Artificial Intelligence (AI) experience Solid understanding of system design and API architecture Experience working with LLMs, RAG systems, or AI-powered applications Ability to handle ambiguity and make pragmatic engineering decisions Strong ownership, taking features from idea to production What's On Offer Opportunity to build AI-native product features Focus on cutting-edge AI technologies and systems Collaborative and fast-moving work environment Comprehensive benefits including medical, dental, vision, and savings plan options Apply via Haystack today!