Full Stack Engineer, AI Systems, Artificial Intelligence

Job not on LinkedIn

🔥 1 hour ago

🏄 California – Remote

🏄 California – Remote

💵 $140k - $190k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 0%

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Tech Jobs

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2 - 10 employees

🎯 Recruiter

Recruitment

Tech Jobs (Gina's Tech Jobs) is an IT recruiting and technical staffing firm that connects employers with IT professionals and helps job seekers find technology roles. With 30+ years of experience and a national (U. S. ) plus international (Canada, England) presence, they place candidates across all levels—executive, senior, mid, junior—and specialties including software engineering, network and systems engineering, cloud, data, cybersecurity, quantitative roles, and security-cleared positions. They serve employers in industries such as finance/trading, healthcare (HIT), government, manufacturing, and insurance, and offer services for permanent placements and contract/contractor roles.

📋 Description

• Build end-to-end product features across frontend, backend, and AI integrations • Design agent workflows that handle planning, tool use, failure, and recovery across multiple steps • Integrate LLMs, memory, and external tools into reliable systems • Design real-time AI interactions with streaming, partial results, and tight latency constraints • Improve system reliability, observability, and fallback mechanisms • Collaborate with ML, backend, and product teams to ship features end-to-end • Continuously iterate based on real usage and failure modes • Own and ship AI-native product features beyond chat into persistent, goal-driven workflows • Deploy agent workflows that complete multi-step tasks across tools and sessions • Reduce latency and improve AI interaction responsiveness while maintaining output quality • Build fallback and recovery mechanisms for LLM and tool failures in production • Improve AI workflow success rates and reliability through iteration, evaluation, and monitoring • Establish patterns and abstractions for integrating LLMs, memory, and external tools into scalable product systems

🎯 Requirements

• Strong experience in Full Stack Engineering (Frontend and Backend) • Artificial Intelligence (AI) experience required • 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; able to take features from idea to production • Comfort working in fast-moving environments with evolving requirements • Knowledge of AI, Anthropic, API, Artificial Intelligence, Backend, Docker, Frontend, Kubernetes, Next.js, Node.js, NoSQL, OpenAI, Claude, Open Source, LLM, Python, Pytorch, RAG Systems, and SQL

🏖️ Benefits

• Medical insurance • Dental insurance • Vision insurance • Savings Plan Options • PTO

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