AI Engineer (Generative AI)

Location: Hybrid in London, Birmingham, Manchester, Newcastle upon Tyne, Edinburgh, Belfast, England, or the United Kingdom

Company

hirify.global delivers technology and transformation solutions for global brands and partners with Anthropic, Microsoft, AWS, Oracle, Red Hat, OutSystems, and Snowflake.

What you will do

• Design, build, deploy, and maintain production-grade AI-powered applications and services.
• Develop machine learning and Generative AI solutions, including RAG systems, AI agents, LLM applications, vector search, and knowledge retrieval.
• Train, fine-tune, evaluate, and deploy models while building feature engineering, model evaluation, and inference optimization pipelines.
• Automate model training, validation, retraining, experiment tracking, versioning, and reproducibility across the ML lifecycle.
• Deploy and serve models through REST APIs or batch inference at scale on Databricks, Snowflake, or similar platforms.
• Monitor production performance, model drift, degradation, quality, safety, and reliability; collaborate with architects, product managers, and engineering teams.

Requirements

• Strong proficiency in Python and SQL.
• Experience with scikit-learn, PyTorch and/or TensorFlow, Hugging Face, leading cloud and model-provider AI services, supervised and unsupervised learning, model evaluation, feature engineering, and statistical concepts.
• Practical experience building RAG systems, AI agents, LLM-powered applications, and vector search solutions.
• Experience with AWS, Docker, containerization, CI/CD pipelines, and DevOps practices.
• At least 3 years of experience in ML engineering or data science, including demonstrable production model deployment and Generative AI application development involving RAG systems, LLM integration, or agentic workflows.
• Demonstrated experience delivering AI solutions into production environments.

Nice to have

• Familiarity with LangChain, LlamaIndex, Semantic Kernel, and LangGraph.
• Experience with Kubernetes.

Culture & Benefits

• Hybrid and flexible/remote working options supporting work-life balance.
• Quarterly performance-related profit share scheme.
• Career progression, mentorship, leadership schemes, and quarterly career development programmes.
• Pension, private healthcare, life assurance, financial advice, employee discounts, and wellbeing programmes.
• Generous holiday allowance, enhanced maternity and paternity leave, marriage or civil partnership leave, and special leave policies.
• Educational assistance and incentivized certifications, including AWS, Microsoft, Oracle, and Red Hat.

Hiring process

• Reasonable adjustments are available during the recruitment process upon request.