AI Skills Engineer

We're developing a next-generation IDE for multimodal AI generations and agentic scenarios. It's a full-featured platform that allows users to build complex AI solutions without deep infrastructure knowledge.
Quadcode.ai is already available for download: https://quadcode.ai/   Skill Engineer — you are the architect of reusable AI components for the platform. You create ready-made "skills" that other users can embed into their projects. Your task is to develop, optimize, and scale solutions that work reliably and efficiently.
This is a role for someone who understands the architecture of AI systems, can optimize prompts across different models, and anticipates edge cases.

Tasks

Develop ready-made skills — reusable components for common AI tasks (text analysis, classification, RAG, agentic workflows, etc.)

Optimize prompts across different models and scenarios; conduct A/B testing and measure output quality

Design RAG integrations and agentic pipelines — from architecture to implementation

Work with integrations — connecting external APIs, vector databases, knowledge sources

Test and document skills — create usage examples, handle edge cases, establish best practices

Analyze requirements and turn them into scalable components

Monitor skill performance and iterate based on feedback

Stay on top of AI trends and add new capabilities to the platform

Requirements

Technical education (completed or in progress) — CS, Engineering, Mathematics, Physics, or related field

Deep understanding of LLMs — how modern models work, their limitations and strengths; hands-on experience with ChatGPT, Claude, Gemini beyond casual use

Prompt engineering experience — not just writing prompts, but optimizing them, A/B testing, understanding how different parameters affect outputs

Python development — at a level sufficient for creating integrations, testing, and automation

Systematic and architectural thinking — ability to design scalable solutions and anticipate edge cases

Analytical approach — ability to measure, compare, and make decisions based on data

English B1+ — reading docs, API documentation, research papers

Russian Native — for team communication

Self-sufficiency — doesn't require step-by-step instructions; can navigate unfamiliar systems independentl

Nice to have

Experience with RAG (Retrieval-Augmented Generation) and vector databases (Pinecone, Weaviate, Milvus)

Familiarity with agentic frameworks (AutoGPT, LangChain, LlamaIndex patterns)

Fine-tuning experience or working with models through different APIs (OpenAI, Anthropic, Hugging Face)

Understanding of function calling and tool use in LLMs

Experience with evaluation frameworks for assessing AI output quality

Work with semantic search, knowledge graphs

Experimentation and metrics monitoring (latency, cost, quality)

What we offer

Competitive salary and remote work

Full-time or part-time, flexible schedule

Access to modern AI tools and models (OpenAI API, Anthropic, etc.)

Opportunity to influence platform architecture

Mentorship and professional growth in a fast-evolving field

Professional, positive team