Backend Engineer - Generative AI Solutions UK - RemoteRate- 490 per day 6 months contract Job Overview: - An innovativeGenerative AI (GenAI) team is seeking a skilled Backend Engineer tosupport the development of advanced solutions designed to meetdiverse client needs. - As a backend engineer, you will play a keyrole in building and integrating workflows for large language model(LLM) capabilities, enhancing the client adaptation process, andsupporting data ingestion and evaluation frameworks. - This roleoffers the opportunity to contribute to cutting-edge AI-drivenproduct development in collaboration with a dynamic team ofengineers, data scientists, and client delivery professionals.Responsibilities: - Design, build, and implement LLM-basedworkflows and workers tailored to product use cases, includingretrieval-augmented generation (RAG) workflows. - Integratesolutions with a foundational orchestrator, ensuring adaptabilityfor various client needs. - Work closely with data engineers toexpand ingestion capabilities and establish a robust evaluationframework for LLMs. - Partner with client delivery teams to ensuresmooth adaptation and customization of tools for client projects. -Participate actively in cross-functional problem-solving sessionsto drive collaborative innovation and product improvements.Qualifications: Core Tech Stack: Proficiency in Python, ØMQ, andNext.js. Professional Experience: 3+ years of hands-on engineeringexperience, with a demonstrated ability to build reliable, scalablebackend applications. Technical Skills: - Strong experience withasynchronous programming in Python. - Solid understanding ofPostgreSQL, including PL/SQL. - Familiarity with Langchain andgeneral knowledge of large language models (LLMs) is advantageous.- Experience with AWS or another major public cloud provider.Problem Solving and Collaboration: - Entrepreneurial mindset with aknack for finding creative solutions to data content and formatchallenges. - Excellent problem-solving and critical thinkingabilities. - Proven ability to work with international teams,demonstrating clear ownership and accountability. Communication:Strong verbal and written communication skills, with an aptitudefor simplifying complex ideas for diverse clients and colleagues atall levels. Education: Bachelor’s or master’s degree in computerscience, Engineering, Applied Mathematics, or a relatedquantitative field.