Job Title: Full Stack Engineer, AI systems 
Location - Remote
Full Time Job 
 
About A1 
There are over 5 billion users using basic applications today such email, notes, tasks that are not AI-native. Our mission is to build a proactive smart assistant for everyday users to bring intelligence to conversations, errands, organising and workflows, with minimal prompting. 
Our product focuses on achieving high reliability for long-running workflows, persistent context, and real-world task completion. The system must handle multi-step reasoning, interact with external tools, and remain reliable despite non-deterministic model behavior. Our objective is to help users complete tasks daily enjoyable with over ~90%* reduced time. 
 
Role 
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. 

Focus 
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 

Ideal Experiences 
Strong experience in full stack engineering (frontend + backend) 
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 

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 

Tech Stack 

• Next.js 
• Python 
• NodeJs 
• Pytorch 
• OpenAI / Anthropic / open-source LLMs 
• SQl & noSQL 
• Kubernetes 
• Docker 

 

 
 
At SPECTRAFORCE, we are committed to maintaining a workplace that ensures fair compensation and wage transparency in adherence with all applicable state and local laws.This position's pay range is $100000.00/Yearly - $120000.00/Yearly.