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Job Title Senior Full Stack Engineer – AI Systems
Location Remote
Time Zone Flexible / Aligned to HQ Time Zone
Role Overview We are scaling our agentic AI capabilities and are looking for a Senior Full Stack Engineer to help us build the systems that power autonomous, context-aware agents across our platform. This is a high-impact, high-ownership role for an engineer who wants to shape how intelligent automation is experienced by thousands of enterprise users.
You will work at the frontier of agentic AI — designing agents that can reason, plan, and act — while also building the full stack infrastructure and interfaces that bring those capabilities to life in a production SaaS environment. If you are energised by complex systems, semantic reasoning, and the challenge of making AI reliable at scale, this role is built for you.
Develop full stack features supporting the deployment, monitoring, and management of AI agents within our SaaS platform
Build and extend the RPA agent layer — designing agents that reason, adapt, and operate reliably in production
Implement and iterate on semantic context mechanisms that equip agents with structured, domain-relevant knowledge
Create intuitive frontend interfaces that give users visibility and control over agent behaviour and outcomes
Integrate with third-party AI services, LLM APIs, and enterprise data sources
Work in a cross-functional squad alongside product managers, ML engineers, and UX designers
Help define technical standards and patterns for agentic system development across the engineering organisation
Senior-level full stack engineering experience with a strong track record of delivery in complex systems
Strong experience with agentic AI systems — including tool-use, memory, planning, and multi-agent coordination
Practical knowledge of RPA concepts and automation workflow design
Familiarity with semantic context patterns and how to structure and surface knowledge for AI consumption
Proficiency across both backend (Python or Node.js) and frontend (React / TypeScript)
Demonstrated ability to lead technically within a collaborative, cross-functional team
Must have prior remote work experience and be comfortable working autonomously within a distributed engineering team
Experience with orchestration frameworks such as LangGraph, AutoGen, or CrewAI
Exposure to enterprise integration patterns including event-driven architecture
Background shipping features in a B2B SaaS environment
Familiarity with vector databases and embedding-based retrieval systems
Agentic frameworks (LangChain, LangGraph, AutoGen, CrewAI, or similar)
Please Note It is crucial that you complete the application form in full. As part of the application process, you will be required to complete a short technical assessment. If your application is successful, you will receive an email confirming next steps. Applications that are not completed in full will not be considered for any open roles.
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Originally posted on Himalayas