AI frameworks like LangChain are unlikely to replace specialised AI engineering in 2026. LangChain speeds up standard RAG and agent workflows but conceals the detailed control needed for latency optimisation, cost control, and system reliability. Most advanced AI products in 2026 begin with LangChain for quick prototyping and gradually replace high-latency layers with customised solutions. Experienced AI engineers who understand both LangChain internals and low-level LLM API techniques remain vital for production AI development.
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Oleh focuses on EVM smart contract engineering and blockchain data pipelines, with ~3.5 years of commercial experience as a Blockchain Software Develo. He delivers production Solidity, TypeScript and Rust code for token flows... Read More
Nine years developing data science solutions across agritech, defence, fintech, and sports analytics. Built Quantum's entire DS department from scratch — hired over 30 people, created learning pathways, and mentored MSc and P... Read More
Pavlo mostly specialises in Backend development with a strong emphasis on quantitative analysis and data processing. With nine years of experience, he is proficient in Python, Node.js and JavaScript, utilising frameworks such... Read More
Victoriia is a skilled Flutter Developer with 4 years of experience in mobile application development. She specializes in frameworks such as Flutter, leveraging JavaScript, DART, and utilizes databases like MySQL and Firebase... Read More
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