Senior Full Stack Engineer

Job Title: Senior/Expert Software Developer – AI Platform

About the Role

We are building a next-generation platform for AI-powered applications. This role is for senior and expert developers who want to shape the architecture, design, and engineering of a system that combines workflow orchestration, agent tooling, retrieval-augmented generation (RAG), and full-stack extensibility. You will be working on both backend and frontend systems that empower developers and enterprises to build, deploy, and scale intelligent applications seamlessly.

Key Responsibilities

• Architect and implement core systems

  for an LLM-powered application platform, including:
• 
  
• Visual workflow design and orchestration.
• 
  
• Retrieval pipelines (data ingestion, embedding, vector search, knowledge base management).
• 
  
• Agent tooling and integrations with third-party services.
• 
  
• Extensible plugin or SDK framework for custom development.
• 
  

• Develop and maintain a robust multi-model infrastructure

  supporting open-source and commercial LLMs, vector databases, and APIs.
• 
  

• Full-stack engineering

  :
• 
  
• Build modern UIs for workflow and prompt management.
• 
  
• Implement backend APIs, data pipelines, and integrations.
• 
  
• Ensure production-ready deployments with Docker/Kubernetes.
• 
  

• Lead system design and scalability decisions

  , driving best practices across performance, monitoring, and observability.
• 
  

• Collaborate cross-functionally

  to define product direction, integrate user feedback, and mentor other developers.

Ideal Candidate

Must-Have Qualifications

• 5+ years of

  full-stack engineering experience

  (JavaScript/TypeScript, React, Node.js or Python).
• 
  
• Proven track record in

  scalable backend development

  (APIs, data pipelines, microservices).
• 
  
• Strong knowledge of

  LLM application architectures

  , including embeddings, RAG, and workflow orchestration.
• 
  
• Proficiency with

  containers and deployment automation

  (Docker, Kubernetes).
• 
  
• Solid experience with relational and non-relational databases, and ideally vector search systems.
• 
  
• Ability to lead technical discussions and guide architectural decisions.

Nice-to-Have

• Experience with

  agent frameworks

  , tool integrations, or extensible plugin SDKs.
• 
  
• Familiarity with observability/telemetry systems for monitoring model performance.
• 
  
• Knowledge of real-time collaboration features, embeddable chat UIs, or multi-tenant architecture.
• 
  
• Prior contributions to

  AI/ML or developer tooling products

  .

Why Join Us

• Build a

  high-impact AI platform

  from the ground up.
• 
  
• Work with

  cutting-edge LLM technologies

  in production environments.
• 
  
• Join a

  senior, expert-level engineering culture

  with freedom to influence architectural and product decisions.
• 
  
• Opportunity to

  shape open, extensible systems

  used by developers and enterprises worldwide.