A-GOS

Build the Operating System for Autonomous Maritime Procurement

A-GOS is a VC-backed AI startup building the autonomous procurement infrastructure for the global maritime industry $100b market.
 

We are looking for an exceptional founding engineer to join our core team and help build a category-defining company from the ground up.

You will work directly with the founders and CTO, shape the architecture, influence the product and own complete features across backend, frontend and AI systems.
 

What You Will Build

• Python backend and scalable APIs
• VUE.js product user interfaces
• AI agents and autonomous workflows
• Procurement, inventory and supplier systems
• The technical foundation for a global maritime platform

What We Expect

• Strong full-stack engineering experience
• Deep backend expertise with Python
• Experience with vue/nuxt
• Solid knowledge of databases, cloud and system architecture
• Ownership mindset and ability to build in uncertainty
• Ambition to create something far bigger than another software product

Why A-GOS

• Join the founding team of a VC-backed startup
• Build for a global multibillion-dollar industry
• Shape the company, product and technology from day one
• Grow into a key technical leadership role
• Potential equity based on long-term contribution
   

We are not hiring someone to complete tickets.
 

We are looking for a founding engineer who wants to help build the future of autonomous commerce.

Our startup is growing fast, and we already have real clients using and testing the product. That is why we are looking for a strong Python Developer with practical experience in AI solutions who wants to join us at an early stage and become part of building a real technology company.

We are not looking for someone who just needs “another job.”
We want to find a person who wants to become part of the team, grow together with the startup, and have a real impact on the product.

After 6 months of successful cooperation, we are ready to offer equity in the company.

Responsibilities

• Develop the backend part of the product using Python
• Integrate AI solutions into the product, including Claude
• Integrate and work with Google OR-Tools
• Participate in product architecture decisions
• Work with data: processing, analysis, and business logic development
• Help build scalable technical solutions from the early stage

What We Offer

• Full remote work
• Flexible schedule
• Opportunity to join an active startup at an early stage
• Real influence on product architecture and technical decisions
• Small team without unnecessary bureaucracy
• Direct impact on the future of the company
• Opportunity to receive company equity

Important

We are looking not just for a developer, but for an engineer who has already worked with AI in practice.

Please include examples of real projects, AI integrations, full-stack or backend only products, or case studies when applying.

A-GOS is a VC-backed AI startup building an intelligent procurement and catering platform for the maritime industry.

We are now looking for an AI Engineer with practical experience in knowledge graphs, ontologies, and AI agents.
 

The Challenge

One of our main tasks is generating optimal weekly menus for vessel crews.

The system must consider:

• Ingredients available on board
• Quantities, prices, and expiration dates
• Crew nationalities and dietary, religious and cultural restrictions
• Consumption and nutritional norms
• Budget and food waste
• Recipe compatibility and menu diversity

Today, much of this logic is handled through Google OR-Tools. However, even with more than 500 recipes in our database, strict recipe structures often make it impossible to generate an optimal menu.

We want to make the system more intelligent.

It should be able to create valid recipe variations by replacing ingredients only when the substitution truly makes sense. The system should understand the ingredient’s role, taste, texture, cooking method, cuisine, nutrition, restrictions, and compatibility with other ingredients.
 

What You Will Work On

• Building a knowledge graph for ingredients, recipes, cuisines, restrictions, and substitution rules
• Designing the domain ontology and semantic model
• Developing intelligent ingredient substitution logic
• Building AI agents that reason over recipes, inventory, and crew requirements
• Integrating the knowledge layer with Google OR-Tools and our existing platform
• Creating explainable logic for generated recipes and menu decisions

What We Expect

• Practical experience with knowledge graphs or ontology design
• Experience developing AI agents or LLM-based systems
• Strong Python skills
• Understanding of semantic modelling, structured reasoning, and retrieval
• Ability to transform complex business rules into a scalable architecture
• Strong ownership and product thinking

What matters is that you have built a real system using knowledge graphs or ontologies and can explain your personal contribution.

Experience with Neo4j, RDF, OWL, SPARQL, GraphRAG, LangGraph, LangChain, LlamaIndex, or similar technologies would be a plus.

Why A-GOS

• Early-stage VC-backed startup
• Real and technically challenging AI product
• Direct influence on product and architecture
• Remote work and flexible schedule
• Small team with minimal bureaucracy
• Potential equity based on long-term contribution

How to Apply

Please briefly describe a real project where you worked with knowledge graphs, ontologies, RAG, semantic models, or AI agents.

Tell us what problem you solved, which technologies you used, what you personally built, and how it was integrated into the final system.