Back End Developer

Backend Engineer - Generative AI Solutions UK - Remote Rate- 490 per day 6 months contract Job Overview: An innovative Generative AI (GenAI) team is seeking a skilled Backend Engineer to support the development of advanced solutions designed to meet diverse client needs. As a backend engineer, you will play a key role in building and integrating workflows for large language model (LLM) capabilities, enhancing the client adaptation process, and supporting data ingestion and evaluation frameworks. This role offers the opportunity to contribute to cutting-edge AI-driven product development in collaboration with a dynamic team of engineers, data scientists, and client delivery professionals. Responsibilities: Design, build, and implement LLM-based workflows and workers tailored to product use cases, including retrieval-augmented generation (RAG) workflows. Integrate solutions with a foundational orchestrator, ensuring adaptability for various client needs. Work closely with data engineers to expand ingestion capabilities and establish a robust evaluation framework for LLMs. Partner with client delivery teams to ensure smooth adaptation and customization of tools for client projects. Participate actively in cross-functional problem-solving sessions to drive collaborative innovation and product improvements. Qualifications: Core Tech Stack: Proficiency in Python, ØMQ, and Next.js. Professional Experience: 3 years of hands-on engineering experience, with a demonstrated ability to build reliable, scalable backend applications. Technical Skills: Strong experience with asynchronous programming in Python. Solid understanding of PostgreSQL, including PL/SQL. Familiarity with Langchain and general knowledge of large language models (LLMs) is advantageous. Experience with AWS or another major public cloud provider. Problem Solving and Collaboration: Entrepreneurial mindset with a knack for finding creative solutions to data content and format challenges. Excellent problem-solving and critical thinking abilities. Proven ability to work with international teams, demonstrating clear ownership and accountability. Communication: Strong verbal and written communication skills, with an aptitude for simplifying complex ideas for diverse clients and colleagues at all levels. Education: Bachelor’s or master’s degree in computer science, Engineering, Applied Mathematics, or a related quantitative field.