AI Engineer
AI Engineer Location: London (Hybrid - 2-3 days per week onsite)
Salary: £80,000 - £120,000 + Benefits
Type: Permanent
About 167 Solutions 167 Solutions is a specialist technology recruitment consultancy connecting organisations with exceptional talent across AI, Technology, CRM and Senior Leadership appointments.
We work with innovative organisations that are investing heavily in Artificial Intelligence, Machine Learning and Automation technologies to transform customer experiences, operational efficiency and business performance.
We are currently supporting a high-growth organisation seeking an experienced AI Engineer to join their expanding AI function and help build next-generation intelligent products and services.
The Opportunity This is an exciting opportunity for an AI Engineer who enjoys solving complex problems and building production-ready AI solutions that deliver measurable business value.
Working alongside AI Technical Leads, Product Teams, Software Engineers and Data Scientists, you will design, develop and deploy cutting-edge AI applications using modern Machine Learning and Generative AI technologies.
You will play a key role in developing enterprise AI solutions, intelligent automation platforms, conversational AI systems, voice technologies and advanced data-driven applications.
Key Responsibilities • Design, develop and deploy AI and Machine Learning solutions into production environments
- Build and optimise Generative AI applications using Large Language Models (LLMs)
- Develop Retrieval Augmented Generation (RAG) architectures and AI agents
- Build speech-to-text, voice AI and accessibility-focused solutions
- Create intelligent chatbots, virtual assistants and conversational AI platforms
- Develop APIs and microservices to support AI applications
- Build scalable data pipelines for AI model training and inference
- Fine-tune, evaluate and optimise machine learning models
- Collaborate with software engineering teams to integrate AI capabilities into existing products
- Monitor model performance and implement continuous improvement processes
- Ensure AI solutions are secure, scalable and compliant with governance standards
- Participate in technical design sessions and contribute to architectural discussions
- Experience working with Large Language Models (LLMs)
- Knowledge of Generative AI technologies
- RAG (Retrieval Augmented Generation) implementation experience
- NLP and Conversational AI development
- Model training, testing and evaluation
- Prompt Engineering and AI workflow optimisation
- PyTorch
- TensorFlow
- Scikit-Learn
- LangChain
- LangGraph
- Hugging Face
- FastAPI
- REST APIs
- NoSQL Databases
- Data Modelling
- ETL Development
- Data Pipeline Engineering
- Vector Databases such as Pinecone, Weaviate or ChromaDB
- AWS (preferred)
- Bedrock
- SageMaker
- Lambda
- ECS / EKS
- S3
- Microsoft Azure
- Google Cloud Platform (GCP)
- Docker
- Kubernetes
- Git
- CI/CD Pipelines
- Terraform (desirable)
- Passion for AI and emerging technologies
- Experience delivering solutions in production environments
- Ability to work collaboratively across engineering and business teams
- Strong problem-solving and analytical skills
- Excellent communication skills
- Desire to learn and stay ahead of rapidly evolving AI technologies
- Speech Recognition technologies
- Accessibility-focused AI applications
- Agentic AI systems
- Multi-modal AI platforms
- MLOps and model monitoring
- Real-time AI inference systems
- Enterprise AI deployments
- Equivalent commercial experience considered
- Typically 3+ years of software engineering experience with exposure to AI, Machine Learning or Data Science projects
- Hybrid working model
- Exposure to cutting-edge AI technologies
- Opportunity to work on enterprise-scale AI initiatives
- Clear progression into Senior AI Engineer or AI Technical Lead roles
- Collaborative and innovative engineering culture
- Significant investment in AI and emerging technology
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