V7 is hiring a
Solutions Engineer

Summary

The job is for a Solutions Engineer at V7, a fast-growing AI company. The role involves developing and presenting complex solutions within their platform, working with technical integrations, and managing multiple projects simultaneously. Requirements include experience in large language model projects, solutions architecture, and Python.

Requirements

• Experience delivering Large Language Model projects with customers, including LLM API integration, up-to-speed knowledge of foundation models, SFT (Supervised Fine-Tuning), prompt engineering, RAG (Retrieval-augmented generation) and / or measuring AI accuracy
• Two years + experience in solutions architecture or integrating multiple applications / data streams, or ML development within customer-facing roles
• Intermediate experience with Python
• University degree in computer science, engineering, mathematics or related fields

Responsibilities

• Develop and present workflow implementations within V7 that combine prompt engineering, data ingestion pipelines, and format conversions, solving customer problems in image recognition, document processing, product development and more
• Work with the product team to assist with the integration of new models and ML-Ops tools into V7
• Develop and maintain the integration into major cloud marketplaces so users can more easily set up V7 on their cloud of choice

Preferred Qualifications

Expertise with langchain and similar tools for multimodal AI projects

Benefits

• V7 was named as Linkedin’s No2 top startup in the UK in 2023 and 1st on Sifted’s top B2B rising stars for 2024
• Top 15% quartile stock options through a EMI scheme
• Company wide revenue sharing bonus scheme
• Private Healthcare via Vitality
• Learning and Development wallet of £800 per year
• Monthly well being and mental health budget
• Personalised benefits platform via Thanks Ben
• Enhanced parental leave
• 4-day company wide retreats in stunning locations
• Soho London office with a barista, fresh fruit, and other amenities
• Paid tickets, accommodation, and travel to relevant conferences, nationally or internationally (NeurIPS, ICCV, CVPR, ...) to expand your network & knowledge during normal times
• Hybrid working London, UK or remote across Europe timezone eligible