Founding Software/AI Architect

oracraft โ€ข Romania
Remote
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AI Summary

Design and build the core of a new product, focusing on deterministic execution around non-deterministic models, and architecting a multi-agent AI system.

Key Highlights
End-to-end architecture of a multi-agent AI system
Deterministic execution around non-deterministic models
Agent orchestration and durable workflow orchestration
Key Responsibilities
Own the architecture of the product end to end
Design and build a system that stays correct, reproducible, and trustworthy
Wrap probabilistic AI models in deterministic, verifiable systems
Technical Skills Required
Deterministic, reproducible software LangGraph Temporal RAG MCP TypeScript Node.js Python PostgreSQL Docker Cloud deployment Observability Distributed-systems thinking
Benefits & Perks
Competitive compensation
Fully remote work
Europe-based preferred

Job Description


ORAcraft is hiring: Founding Software / AI Architect (Remote, B2B contract)


ORAcraft is a services consulting company โ€” and alongside the consulting practice, we're building a new product. We're hiring one architect to design and build its core.


The hard part of this role isn't calling an LLM. It's building a system that stays correct, reproducible, and trustworthy when its most powerful component is non-deterministic by design. That distinction is the job.


You would own the architecture of the product end to end โ€” including its central engineering problem: wrapping probabilistic AI models in deterministic, verifiable systems.


What you'd own:

โ€ข End-to-end architecture of a multi-agent AI system

โ€ข Deterministic execution around non-deterministic models โ€” typed contracts, structured outputs, validation, idempotency, replayable workflows

โ€ข Agent orchestration โ€” LangGraph or equivalent (directed graphs, typed state, checkpointing, critic/retry loops)

โ€ข Durable workflow orchestration โ€” Temporal or equivalent, where deterministic workflow code is non-negotiable

โ€ข RAG and MCP โ€” retrieval pipelines over vector stores, and tool integration via Model Context Protocol

โ€ข The reliability questions: how you test, guard, evaluate, and trust the system in production


What we're looking for:

โ€ข Deep expertise in deterministic, reproducible software โ€” you know how to make a non-deterministic system behave predictably, and you can explain exactly how

โ€ข Proven experience architecting agentic / multi-agent systems that run in production โ€” not demos

โ€ข Hands-on depth with LangGraph (or comparable) and a durable workflow engine like Temporal

โ€ข Strong RAG and MCP experience โ€” retrieval, embeddings, vector search, tool servers โ€ข 8+ years shipping software, with 3+ years on production AI/LLM systems

โ€ข Strong backend engineering โ€” TypeScript/Node.js and/or Python; solid API and data modeling; PostgreSQL

โ€ข Comfortable with Docker, cloud deployment, observability, and distributed-systems thinking

โ€ข A true architect โ€” owns decisions, writes the ADRs, defends them


The setup:

โ€ข Fully remote, B2B contract

โ€ข Europe-based preferred; open globally if you have several hours of daily overlap with Central European Time

โ€ข Compensation is competitive and discussed early with shortlisted candidates

โ€ข An NDA is signed before we share the full picture โ€” what we're building and why it matters


We can't describe the product in a public post. What we can promise: the problem is large and real, the engineering is genuinely hard, and whoever takes this role shapes the technical foundation of the company.


Interested? Email hello@oracraft.com with a short note on the most complex agentic system you've architected โ€” what broke, how you made it deterministic, and how you knew it worked.


Follow ORAcraft for what comes next.


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