Senior AI Engineer

Summary

Join Vidsy as an AI Engineer and leverage Generative AI to enhance operations, power client-facing products, and strengthen our data-driven culture. You will own the full AI lifecycle, from proof of concept to deployment and continuous evaluation. Our AI initiatives span various areas, including categorization, summarization, data analysis, and automated content generation. Collaborate across teams to build practical, scalable AI solutions, maintaining a hands-on approach throughout development. We seek an AI-first engineer who drives real value with LLMs and brings innovative ideas. The role involves working directly with Stephen, a tech wizard leading Vidsy's AI initiatives.

Requirements

• Software development experience using Python, and GoLang
• Proven track record leveraging Generative AI to build / enhance products with real user adoption
• Experience in developing and fine-tuning Gen AI models, including prompt engineering, model fine tuning and deployment
• Knowledge and use of LLM and statistical evaluation techniques such as G-Eval, Bleu, Perplexity and/or others for prompt and model optimisations
• Comfortable working with databases (relational & vector), and large-scale data sets and pipelines (e.g. AWS Glue, Redshift, RDS, Pinecone, Opensearch)
• Hands-on experience with AI Cloud Infrastructure for MLOps (e.g.Google Vertex AI / AWS Bedrock), including deploying AI applications and managing AI cloud-based services
• Expert knowledge of REST, and proficiency in designing and writing APIs

Responsibilities

• Identify and showcase high-impact AI opportunities, developing proof of concepts to validate feasibility and demonstrate real-world value
• Explore, collect, clean, and prepare datasets for prompt engineering, model training and evaluation (Data Engineering)
• Design and create robust data pipelines (Data Engineering)
• Develop, test and iterate prompts to optimise performance across relevance, accuracy, consistency and other areas (Prompt Engineering)
• Select, train, and fine-tune AI models based on need, leveraging appropriate techniques (e.g. LLMs, Retrieval-Augmented Generation (RAG), Vector Databases, Embeddings, Multi-modal AI, Agentic Workflows) (Model Development)
• Integrate and deploy scalable AI based applications, backend services and APIs (Deployment)
• Develop automated mechanisms and tools for continuous evaluation, benchmarking and optimising of AI solutions, prompts, and models (Eval)
• Improve AI solutions and enhance real-world applicability through qualitative user feedback (Eval)
• Ensure that all AI solutions and tools align with organisational policies, security protocols, and relevant regulations (Compliance)
• Stay up to date with the latest AI advancements and best practices, and drive AI culture empowering your colleagues to apply AI to their own projects

Preferred Qualifications

• Experience with Automatic Prompt Engineering frameworks such as Textgrad or DSPy
• Knowledge of agentic systems and autonomous multi-agent frameworks
• Knowledge of Git or other source control software
• Knowledge of using JIRA and Confluence
• Experience with multi-modal AI (audio, image, video)

Benefits

• Competitive Base Salary : In-line with your experience level, and kept competitive!
• Share Options : New Joiners receive shares in the business!
• Private Healthcare : To keep you feeling your best
• Flexibility First : Work your way with our virtual-first hybrid approach
• Generous Time Off : 25 days annual leave (+ Bank Holidays) to take the breaks you need to recharge
• Remote Flexibility : Work away from your hub for up to 4 weeks of the year
• Volunteer Day : Get a paid day off annually to support a cause you care about
• Wellbeing Focus : Access our wellness programs and Employee Assistance Program
• Enhanced Parental Leave Policies : Adaptable to your needs too!
• Eco Impact : Your carbon footprint offset through our Ecologi partnership