Jobs

Senior GenAI Specialist (GenAI Expert)


Job details
  • Motorway
  • London
  • 4 months ago
Applications closed

London based, Hybrid (1-2 days/week on site)

Motorway is the UK’s fastest-growing used car marketplace – our award-winning, online-only platform connects private car sellers with thousands of verified dealers nationwide, ensuring everyone gets the best deal. Founded in 2017, our technology-led approach has redefined the experience of selling a car, generating thousands of monthly car sales and helping us to grow to a team of more than 400 people across our London and Brighton offices.

At Motorway, we’re no strangers to innovation, having revolutionised the used vehicle marketplace by leveraging state-of-the-art technologies right across our product from the beginning. To give you a flavour, we make extensive use of boosted regression models for vehicle pricing, convolutional neural networks for image assessment, and various large language models to help our customer support agents and customers to a more seamless user experience.

About the role

You will be instrumental to our journey towards a smarter future - working across the breadth of Motorway to help identify opportunities, hack together prototypes, and develop lasting, scalable implementations of generative AI that delight our users. Equally important will be understanding current limitations, keeping a pulse on the latest developments, and guiding teams on where not to use AI.

This role will involve both development and product management responsibilities, supporting our Generative AI strategy, and would be a great fit for somebody who loves to empathise with our users to build exciting products that meet our unique requirements across the business.

During your first 12 months you will:

Work alongside the Head of Machine Learning and stakeholders across the business to understand their requirements and prioritise their needs. Develop end-to-end AI solutions that solve real problems. Help to shape and develop Motorway’s Generative AI strategy. Work across the organisation to run workshops and help upskill colleagues.

Requirements

Demonstrable experience developing Generative AI solutions that add real value. Self-sufficient ability to translate business needs into technical requirements and solution architecture. Strong expertise with prompt engineering and advanced LLM (large language models) concepts such as chain-of-thought-reasoning, prompt chaining, RAG, custom-built agents, and when to apply each. Expertise building and consuming API services in Python, using FastAPI or similar. Experience with LLM frameworks such as langchain, autochain, haystack, griptape, llamaindex, openllm, copilotkit, OpenAI’s Assistants API etc (it’s not required to know them all). Proven experience with Cloud technologies on GCP or AWS (GCP preferred). Expertise with SOTA LLMs such as Gemini, PaLM, GPT-4, PaLM, Mistral, Llama 2, Claude 2 etc. Experience with Google’s LLMs are preferred. Experience evaluating performance of LLMs for different use cases. Proven experience architecting performant microservices with serverless architecture. Experience with embedding models and vector databases such as Pinecone. Proven ability in stakeholder management and project leadership. A collaborative spirit, a thirst for solving difficult problems, and a passion for adding business value with cutting-edge technology.

Benefits

A competitive salary Annual learning budget - with your learning budget, you can pay for learning experiences to support your progression. BUPA health insurance Discounted dental through BUPA Discounted gym membership through BUPA OnHand volunteering membership and one paid volunteering day per year Hybrid working from home (approximately 1-2 days in the office a week) Pension scheme Motorway car leasing scheme - lease a zero-emissions electric vehicle at a significant discount Enhanced parental leave - We offer enhanced maternity pay (26 weeks of full pay) and enhanced paternity pay (4 weeks of full pay) to eligible employees. Workplace nursery scheme Top spec MacBook Pro and peripherals Regular social events Cycle to work scheme

Equal opportunities statement

We are committed to equality of opportunity for all employees. We work to provide a supportive and inclusive environment where people can maximise their full potential. We believe our workforce should reflect a variety of backgrounds, talents, perspectives and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing and advancing individuals based on their skills and talents.

We welcome applications from all individuals regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief and marriage and civil partnerships.

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