Full Stack Engineer

VisibilityStack was founded by the Founders of FirstPrinciples ($8m+ ARR) and Listnr.ai (3.5mn+ users across 200 countries) to solve for one of the most painful problems to exist in this decade - AI search visibility.

VisibilityStack.ai helps brands win visibility in the new search layer - across AI search, generative engines, and modern discovery surfaces.

We are building an AI-native SEO/GEO platform that helps companies understand, improve, and scale how they appear across traditional search, LLM-powered search, answer engines, and agent-driven discovery workflows.

Our product sits at the intersection of:

• AI search and generative engine optimization
• agentic workflows and automation
• large-scale data collection and analysis
• modern SaaS product engineering
• applied AI infrastructure

We care deeply about shipping fast without compromising quality or security, building useful product experiences, and turning cutting-edge AI capabilities into reliable software that customers use every day.

The Role

We're looking for a Full Stack AI Engineer who is highly product-minded and excited about building AI-native software from end to end.

This is not a narrow frontend or backend role. You'll work across the stack - from APIs, workflow engines, and data systems to polished product surfaces - while helping design and ship the core intelligence layer behind VisibilityStack.ai.

You should be comfortable building with modern AI tooling, orchestrating workflows, integrating LLMs and external tools, and turning messy real-world requirements into clean product experiences. The ideal candidate has strong software engineering fundamentals, a bias for shipping, and hands-on experience with AWS-based systems.

What You'll Work On:

1) Build AI-native product workflows

• Design and ship product features powered by LLMs, retrieval systems, and agentic workflows
• Build systems that automate SEO/GEO research, content intelligence, brand monitoring, query expansion, and recommendation generation
• Create workflow-driven features that connect models, tools, APIs, and data pipelines into production-ready user experiences
• Develop internal AI tooling for experimentation, prompt iteration, evaluation, and rapid feature development

2) Develop full stack product systems

• Build scalable backend services and APIs for core product workflows
• Develop fast, intuitive frontend experiences using React or similar modern frameworks
• Create internal dashboards, operator tools, and customer-facing interfaces for monitoring, debugging, and workflow control
• Write clean, maintainable, well-tested code across the application stack

3) Build agentic software and orchestration layers

• Design and manage multi-step AI workflows with tool use, state management, retries, fallbacks, and validation
• Build integrations that allow AI systems to interact with internal services, external APIs, databases, and data sources
• Implement session handling, persistence, memory, and context management for agent-driven applications
• Design knowledge and retrieval layers using vector databases, embeddings, and document pipelines
• Build systems for evaluating agent outputs, monitoring behavior, debugging execution failures, and improving reliability over time

4) Build data and intelligence infrastructure

• Develop ingestion pipelines for structured and unstructured data across search, content, and web intelligence sources
• Build backend systems for crawling, processing, scoring, and serving product insights
• Work with ranking, classification, extraction, and summarization workflows in production
• Collaborate on systems that turn raw data into actionable product recommendations

5) Own cloud infrastructure and deployment on AWS

• Build and manage services deployed on AWS
• Work with cloud-native architectures for compute, storage, queues, and observability
• Improve performance, scalability, and cost efficiency across product and AI workloads
• Support containerized services and production deployment pipelines
• Help define best practices around reliability, monitoring, and infrastructure hygiene

6) Drive engineering quality and product velocity

• Collaborate closely with product and leadership on feature design and prioritization
• Participate in technical design, architecture reviews, and code reviews
• Bring strong engineering judgment around tradeoffs, speed, and maintainability
• Contribute to a culture of ownership, experimentation, and high standards

What We're Looking For:

Core Requirements

• 1-4 years of experience in software engineering, full stack development, or backend-heavy product engineering
• Strong fundamentals in computer science, data structures, algorithms, and systems design
• Strong proficiency in Python
• Experience building backend services using FastAPI, Flask, or similar frameworks
• Experience building frontend applications using React.js or similar frameworks
• Experience designing and shipping APIs, internal tools, and product workflows
• Strong debugging skills and the ability to work through ambiguous engineering problems
• Product mindset - you care about the user outcome, not just the code

Strongly Preferred

• Hands-on experience with AWS, FastAPI and NextJS
• Experience building AI-powered product features using LLM APIs and modern AI tooling
• Familiarity with orchestration frameworks such as LangChain, LangGraph, or similar workflow frameworks
• Experience building agentic systems, tool-calling workflows, or multi-step AI applications
• Experience with vector databases, retrieval pipelines, embeddings, and knowledge systems
• Experience with async systems, queues, background jobs, and event-driven architectures
• Familiarity with Docker and production deployment practices
• Experience working with data pipelines and large-scale processing systems

Bonus Points

• Experience in SEO, search, web intelligence, crawling, or content systems
• Experience with evaluation frameworks for AI systems
• Experience with prompt engineering, guardrails, output validation, and fallback design
• Experience with observability tools, system monitoring, and production debugging
• Familiarity with MLOps or workflow orchestration tools
• Experience building 0→1 internal tools, automation products, or AI copilots

What Success Looks Like

In this role, success means you can:

• ship AI-native product features quickly and reliably
• build workflows that combine models, tools, and data into real customer value
• improve the performance and robustness of our AI systems over time
• operate comfortably across backend, frontend, AI orchestration, and AWS infrastructure
• think like an owner and help shape both product direction and technical execution

Who You Are

• You are highly curious and learn new tools fast
• You like building useful systems, not just prototypes
• You are excited by AI tooling, agentic software, and workflow automation
• You are comfortable moving across layers of the stack
• You care about product quality, speed, and practical impact
• You take ownership and enjoy solving real-world engineering problems

Why Join VisibilityStack.ai

VisibilityStack was founded by the Founders of FirstPrinciples ($8m+ ARR) and Listnr.ai (3.5mn+ users across 200 countries) to solve for one of the painful problems to exist in this decade - search visibility.

As product, user, content discovery moves to Generative search, we aim to provide the best tools to help businesses get discovered on AI chatbots. We're at the forefront of the AI space with a team thats been building in AI since 2018, way before GenAI became a buzzword.

At VS, you'll get a chance to work on an AI-native product in one of the fastest-changing categories in software.

• Build at the frontier of SEO, GEO, AI search, and agentic discovery.
• Ship real product, that will be used by millions of users.
• Get broad ownership across product, engineering, AI systems, and infrastructure.

Be part of a fast-moving team building software that directly impacts customer growth