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Senior AI Engineer

Roles & Responsibilities

  • Proven experience in software engineering or ML Engineering roles
  • Proven practical experience building production-grade GenAI solutions
  • Strong proficiency in Python
  • Strong experience with either Azure AI stack or AWS AI stack

Requirements:

  • Support the design, development, and deployment of scalable AI-driven solutions
  • Collaborate closely with teams to understand product requirements and translate them into technical implementations
  • Help implement GenAI architectures using best-in-class frameworks and tools
  • Contribute to developing solutions leveraging Azure technologies, specifically Azure OpenAI API

Job description

Job Title: Senior AI Engineer

Reporting To: Director of Data & AI

Location: Remote - with occasional travel to Bournemouth

Salary: Competitive

Job Type: Full Time 37.5 hours a week


Our Purpose

Nourish Care provides a digital solution to the health and social care sector which improves the process of recording, analysing, and sharing of information. We seek to enhance and simplify care in equal measures; To harness the power of care management software to improve the lives of people who need care and those who provide it.

We are in the midst of one of the most exciting times in our history and while we are the current market leader in the sector, we will not be complacent. We are dedicated to our purpose of a better life for everyone. We continue to revolutionise the care sector and our incredible employees are what make this possible.


About the Job 

As an AI Engineer, you will support and contribute to building innovative AI-driven products using modern tools and best practices. Working collaboratively with product leaders, data engineers, software engineers, AI engineering specialists, and the Director of Data and AI, you will help develop cutting-edge solutions for Nourish’s next-generation products. 


Role and Responsibilities: 

  • Support the design, development, and deployment of scalable AI-driven solutions. 

  • Collaborate closely with teams to understand product requirements and assist in translating them into technical implementations. 

  • Help implement GenAI architectures using best-in-class frameworks and tools. 

  • Contribute to developing solutions leveraging Azure technologies, specifically Azure OpenAI API. 

  • Participate in the development and optimization of RAG architectures, embedding strategies, indexing, and chunking methods. 

  • Assist in managing evaluation frameworks and pipelines, including using tools such as llangfuse. 

  • Contribute to the documentation and sharing of best practices around GenAI and Agentic architecture. 

Stay informed and actively engage in learning about new technologies and methodologies in AI. 


Essential Skills and Experience: 

  • Proven experience in software engineering or ML Engineering roles. 

  • Proven practical experience building production-grade GenAI solutions. 

  • Strong proficiency in Python. 

  • Strong experience with either Azure AI stack or AWS AI stack 

  • Good understanding and hands-on experience with GenAI tools and open-source and commercial large language models (LLMs). 

  • Familiarity with AI architectures such as Agentic AI, RAG (including GraphRAG) 

  • Experience with frameworks and tools such as LangChain, LlamaIndex, and evaluation pipelines (e.g., llangfuse). 

  • Strong collaborative and communication skills. 

  • A proactive learner with a strong desire to adopt and explore emerging technologies. 



Nourish Benefits:

  • 25 days basic annual leave, plus Bank Holidays

  • In addition, we offer incremental leave benefit of 1 extra day for each completed year of service, up to a maximum of 5 additional days. This means long standing employees can enjoy up to 30 days of annual leave per year, plus bank holidays.

  • Extra paid day off for your birthday

  • Paid days off for volunteering opportunities

  • Private Medical Insurance

  • Pension

  • Referral Bonus

  • Health and Wellbeing platform including access to 24/7 GP & 24/7 EAP

  • Counselling and support

  • Variable impact workouts.

  • Wellbeing videos including prompts for healthy behaviours

  • Wellbeing, care and compassion leave policies

  • Cycle to Work Scheme

  • Career Development opportunities and regular reviews

  • Recognition and Rewards

  • Social Events throughout the year

All positions at Nourish are subject to a satisfactory Enhanced Disclosure and Barring Service check, references and receipt of the appropriate Right to Work documents.

Nourish is proud to be an equal opportunities employer and we actively seek and embrace differences in thinking, experience, ethnicity, age, gender, faith, personalities and styles.

The different skills, experiences and backgrounds our employees bring to their roles creates a diverse and makes Nourish a special place to work

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