At a Glance
- Tasks: Design and deploy innovative Generative AI solutions using cutting-edge technologies.
- Company: Join a growing tech organisation with a focus on AI innovation.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Collaborative environment with excellent career advancement potential.
- Why this job: Make a real impact by transforming AI prototypes into production-ready solutions.
- Qualifications: 3-5 years in AI engineering or software development with strong Python skills.
The predicted salary is between 65250 - 79750 £ per year.
Generative AI Engineer
Salary
Location
London / Sheffield
Type
- Hybrid
- We are supporting a growing technology organisation that is hiring a
Generative AI Engineer to help design, build, and deploy production-ready Gen AI solutions.
This hybrid role can be based from London or Sheffield and is ideal for an AI Engineer, Machine Learning Engineer, or Software Engineer with 3 to 5 years of experience working across Generative AI, LLMs, Python, APIs, and cloud-based AI applications.
Generative AI Engineer Role Overview
As a Generative AI Engineer, you will work on the development of practical AI solutions that use large language models, retrieval-augmented generation, AI agents, automation, and intelligent search.
You will help move AI use cases from prototype into production, working closely with product teams, software engineers, data specialists, and business stakeholders.
The role will suit someone who is hands-on, commercially aware, and confident building AI-enabled applications that solve real business problems.
Key Responsibilities
- Design, develop, and deploy Generative AI solutions using LLMs and modern AI frameworks.
- Build applications using Python, APIs, prompt engineering, RAG, and AI agent workflows.
- Work with cloud platforms to support scalable AI deployment.
- Integrate Gen AI features into existing products, platforms, and business systems.
- Build and maintain data pipelines, vector search, embeddings, and knowledge retrieval workflows.
- Support experimentation, model evaluation, testing, monitoring, and optimisation.
- Work with software engineering teams to ensure AI solutions are reliable, secure, and production-ready.
- Collaborate with stakeholders to turn business requirements into practical AI solutions.
- Required Skills and Experience
- 3 to 5 years of experience in AI engineering, machine learning engineering, software engineering, or data-focused development.
- Hands-on experience with Generative AI, LLMs, RAG, prompt engineering, or AI agents.
- Strong Python development experience.
- Experience working with APIs and integrating AI services into applications.
- Understanding of embeddings, vector databases, semantic search, and retrieval workflows.
- Experience with cloud platforms such as AWS, Azure, or GCP.
- Good understanding of software engineering best practices, testing, version control, and deployment.
- Ability to work with technical and non-technical stakeholders.
Desirable Skills
- Experience with Open AI, Azure Open AI, Anthropic, Lang Chain, Llama Index, Hugging Face, or similar tools.
- Experience deploying AI models or AI applications into production.
- Knowledge of MLOps, CI/CD, monitoring, and model evaluation.
- Experience with containerisation tools such as Docker or Kubernetes.
- Understanding of AI governance, responsible AI, data privacy, and security considerations.
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Generative AI Engineer employer: Software Search
At Software Search, we pride ourselves on fostering a dynamic and innovative work culture that empowers our employees to take ownership of their projects. As an AI Engineer, you will not only have the opportunity to develop cutting-edge AI solutions but also benefit from our commitment to professional growth and collaboration within a hybrid work environment. Join us to be part of a forward-thinking consultancy where your contributions truly make a difference.
