Full Stack Engineer, AI Systems, Artificial Intelligence (AI) Required, Work From Home

Ginas Tech Jobs; San Francisco (CA); Remote; USD 140,000 - 190,000; Full time

Benefits offered by this job

Medical insurance

Dental coverage

Vision coverage

Savings plan

Paid time off

Job summary

Ginas Tech Jobs is seeking a Full Stack Engineer specializing in AI Systems to build production-grade workflows that leverage agents, LLMs, memory, and external tools. You will design end-to-end features spanning frontend, backend, and AI integrations, with a focus on reliability, latency, and robust fallback mechanisms.

The role is 100% remote, offering a competitive salary range and opportunities to ship AI-native capabilities at scale.

Qualifications

• Strong experience in Full Stack Engineering
• AI experience required
• Ability to handle ambiguity and make pragmatic engineering decisions

Responsibilities

• 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 systems that behave reliably under real-world conditions.
• Design real-time AI interactions with streaming, partial results, and tight latency constraints.
• Improve system reliability, observability, and fallback mechanisms.
• Collaborate closely with ML, backend, and product teams to ship features end-to-end.
• Continuously iterate based on real usage and failure modes.

Skills

Full stack engineering

AI experience

Frontend development

Backend development

API design

Ambiguity handling

Ownership

Education

Bachelor's degree or higher

Tools

Docker

Kubernetes

Next.js

Node.js

Python

OpenAI

Claude

Job description

Full Stack Engineer, AI Systems, Artificial Intelligence (AI) Required, Work From Home

• Full-time
• Compensation: USD 140,000 - USD 190,000 - yearly

Full Stack Engineer, AI Systems, Artificial Intelligence (AI) Required, Work From Home

We are looking for a Full Stack Engineer - AI Systems to build the product layer that turns these capabilities into usable, production-grade workflows. This includes designing how agents operate, fail, recover, and deliver consistent value to users.

This position is 100% Remote.

Full Stack Engineer Responsibilities:

• 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 systems that behave reliably under real-world conditions.
• Design real-time AI interactions with streaming, partial results, and tight latency constraints.
• Improve system reliability, observability, and fallback mechanisms.
• Collaborate closely with ML, backend, and product teams to ship features end-to-end.
• Continuously iterate based on real usage and failure modes.

Full Stack Engineer Outcomes:

• Own and ship AI-native product features that move beyond chat into persistent, goal-driven workflows.
• Design and deploy agent workflows that reliably complete multi-step tasks across tools and sessions.
• Reduce latency and improve responsiveness of AI interactions while maintaining output quality.
• Build robust fallback and recovery mechanisms for LLM and tool failures in production environments.
• Improve the success rate and reliability of AI-driven workflows through iteration, evaluation, and monitoring.
• Establish patterns and abstractions for integrating LLMs, memory, and external tools into scalable product systems.
• Contribute to a product experience where AI feels proactive, consistent, and dependable over time.

Full Stack Engineer Qualifications:

• 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.
• Tech Stack: 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 include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc.

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