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Company:

Arcyn is a freshly funded pre-seed stage startup. We’re creating an AI-powered compliance checker for architectural design — an Autodesk Revit plugin that automatically checks designs against regulations as they’re being created. Architects get instant feedback on violations as they design in Revit, instead of waiting weeks for permit reviewers to tell them what’s wrong.

We’ve just closed pre-seed round and are building core technical team. We’re now a team of 4 with a track record of building complex technical products, and we’re looking for a strong AI engineer who’s comfortable testing hypotheses and working across different frameworks. This is a chance to join at the ground floor, shape product architecture and solve genuinely hard AI problems.

In this role, you’ll architect AI systems from scratch and own the full development cycle, there’s plenty of room for experimentation and rapid iteration. We’re seeking a highly skilled AI Engineer with strong experience in orchestrating multi-step LLM workflows, automated code generation, and compliance logic formalization.

Key Responsibilities:

Design and maintain modular, multi-step AI workflows for compliance automation.
Integrate multiple LLM providers (e.g., OpenAI, Anthropic, Perplexity) into a cohesive orchestration pipeline.
Build cost-optimized batch processing and intelligent API request strategies.
Translate complex regulations into structured, machine-executable logic.
Develop and validate automatically generated code to ensure correctness, safety, and performance.
Collaborate with domain experts to refine logic interpretation and edge case handling.
Maintain high-quality, well-structured Python codebases with clear separation of concerns.

Requirements:
Must-have:

5+ years of professional software engineering experience.
Strong Python skills, including experience writing production-grade, modular code.
Proven track record building multi-step LLM workflows (LangChain, LangGraph, or similar).
Experience in structured code generation and validation.
Strong debugging skills and comfort working with complex, evolving systems.

Nice-to-have:

Experience with compliance automation, technical regulations, or domain-specific rule translation.
Familiarity with Pydantic models or other type-safe data management frameworks.
Background in developer tooling or systems requiring high reliability and reproducibility.
Experience optimizing LLM API usage for both cost and speed.

What We Offer:

Full-time remote role aligned with EEST.
B2B set-up via SP account.
Flexible work arrangements and competitive compensation.
Freedom to architect solutions using the best tools for the job.
Collaboration with a multidisciplinary, innovation-driven team.
Opportunity to shape a new AI product from the ground up at an early stage.

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