Note: The job is a remote job and is open to candidates in USA. Quadcode is a fintech company excelling in financial brokerage activities and delivering advanced financial products to its global clientele. They are seeking an AI Skills Engineer to develop, optimize, and scale reusable AI components for their platform, ensuring reliable and efficient solutions.
Responsibilities
- 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
Skills
- 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 independently
- 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)
Benefits
- 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
Company Overview