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Senior Full Stack AI Engineer
VisibilityStack
Dubai, UAE
Full Time
Senior
1 weeks ago
PythonFastAPIReactNext.jsAWSLLM APIs
Free
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About the Role
VisibilityStack.ai is seeking a Senior Full Stack AI Engineer to own complex product and infrastructure problems end to end. The role involves building AI-native product workflows, backend systems, agentic orchestration layers, data infrastructure, and product surfaces.
Key Skills for This Role
PythonFastAPIReactNext.jsAWSLLM APIs
Responsibilities
- Build AI native product workflows powered by LLMs, retrieval systems, workflow engines, and agentic software
- Own backend systems and APIs using Python, FastAPI, or similar frameworks
- Build agentic orchestration layers with state management, memory, tool use, and context handling
- Build data and intelligence infrastructure including ingestion pipelines, crawling, parsing, and ranking systems
- Build product surfaces and internal tools using React, Next.js, or similar frameworks
- Own AWS infrastructure and production deployment
- Raise engineering quality and velocity through technical design, code review, and debugging
Requirements
- 4+ years of software engineering experience
- Strong backend engineering experience with production systems
- Strong proficiency in Python
- Experience building APIs and backend services using FastAPI, Flask, Django, or similar frameworks
- Experience with React, Next.js, or similar frontend frameworks
- Strong understanding of system design, data structures, algorithms, databases, and distributed systems
- Experience designing and shipping production APIs, internal tools, data workflows, and customer facing features
- Strong debugging ability across backend, frontend, cloud, and data systems
- Experience working with AWS or similar cloud platforms
- Ability to work independently on ambiguous problems and drive them to completion
- Product mindset: you care about the customer outcome, not just the code
Full Job Posting
About Us
- VisibilityStack.ai is an agentic AI platform that automates organic growth across AI & Traditional Search.
- Product sits at intersection of AI search, SEO/GEO, large scale data systems, applied AI infrastructure, workflow automation, and modern SaaS product engineering.
The Role
- Senior Software Development Engineer who can own complex product and infrastructure problems end to end.
- Senior engineering role across backend systems, AI workflows, data infrastructure, cloud architecture, and product surfaces.
What You’ll Work On
- Build AI native product workflows powered by LLMs, retrieval systems, workflow engines, and agentic software.
- Own backend systems and APIs using Python, FastAPI, or similar frameworks.
- Build agentic orchestration layers with state management, memory, tool use, and context handling.
- Build data and intelligence infrastructure including ingestion pipelines, crawling, parsing, and ranking systems.
- Build product surfaces and internal tools using React, Next.js, or similar frameworks.
- Own AWS infrastructure and production deployment.
- Raise engineering quality and velocity through technical design, code review, and debugging.
What We’re Looking For
- 4+ years of software engineering experience
- Strong backend engineering experience with production systems
- Strong proficiency in Python
- Experience building APIs and backend services using FastAPI, Flask, Django, or similar frameworks
- Experience with React, Next.js, or similar frontend frameworks
- Strong understanding of system design, data structures, algorithms, databases, and distributed systems
- Experience designing and shipping production APIs, internal tools, data workflows, and customer facing features
- Strong debugging ability across backend, frontend, cloud, and data systems
- Experience working with AWS or similar cloud platforms
- Ability to work independently on ambiguous problems and drive them to completion
- Product mindset: you care about the customer outcome, not just the code
Strongly Preferred
- Hands on experience with AWS, FastAPI, and Next.js
- Experience building AI powered product features using LLM APIs
- Experience with LangChain, LangGraph, or similar orchestration frameworks
- Experience building agentic systems, tool calling workflows, or multi step AI applications
- Experience with vector databases, embeddings, retrieval pipelines, and knowledge systems
- Experience with async systems, queues, background jobs, and event driven architecture
- Experience with Docker and production deployment workflows
- Experience building data pipelines or large scale processing systems
- Experience improving reliability, latency, cost, and observability in production systems
Bonus Points
- Experience in SEO, search, web intelligence, crawling, content systems, or marketing technology
- Experience with AI evaluation frameworks
- Experience with prompt engineering, guardrails, output validation, and fallback design
- Experience with observability tools, monitoring systems, and production debugging
- Familiarity with MLOps or workflow orchestration tools
- Experience building 0 to 1 products, internal platforms, automation systems, or AI copilots
- Prior startup experience or experience working in fast moving product teams
What Success Looks Like
- Own major product and infrastructure systems end to end
- Ship AI native product features quickly and reliably
- Build workflows that combine models, tools, APIs, and data into real customer value
- Improve the robustness, speed, cost, and accuracy of our AI systems over time
- Operate comfortably across backend, AI orchestration, data infrastructure, frontend, and AWS
- Make good technical decisions under ambiguity
- Help shape both product direction and technical execution
- Raise the engineering bar for the team
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