KBC Technologies Group

AI Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Engineer in London, UK, with a contract length of unspecified duration. The pay rate is also unspecified. Key skills include 12+ years of IT experience, API integration, NLP techniques, and expertise in LLMs and vector databases.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
January 6, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
London
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🧠 - Skills detailed
#Classification #Model Evaluation #Kafka (Apache Kafka) #NLP (Natural Language Processing) #Azure #NER (Named-Entity Recognition) #ML (Machine Learning) #REST (Representational State Transfer) #Langchain #API (Application Programming Interface) #AI (Artificial Intelligence) #Deployment #Scala #Databases
Role description
Job Description : Role: AI Engineer Location: London,UK (3 days onsite/week) Job Summary: We are seeking a highly skilled and experienced AI Engineer to join our team. The ideal candidate will bring deep expertise in building and deploying AI/ML solutions, particularly in areas like NLP, document understanding, and search/retrieval systems. You will work in a dynamic environment, collaborating across teams to design scalable AI-driven solutions and bring them into production. Key Responsibilities: • Design, develop, and deploy AI/ML solutions with a focus on NLP, document understanding, and information retrieval. • Integrate AI models into systems using APIs and message brokers such as REST and Kafka. • Implement secure systems using modern authentication and authorization standards like OAuth2, JWT, and Azure AD. • Apply best practices in AI model evaluation, tuning, and optimization. • Work with LLM architectures and frameworks (OpenAI, Anthropic, LangChain, LlamaIndex) to build scalable and intelligent applications. • Utilize vector databases (e.g., FAISS, Azure AI Search) and embedding models for semantic search and retrieval tasks. • Execute and iterate on PoCs rapidly to evaluate feasibility and solution effectiveness. • Collaborate with cross-functional teams and stakeholders to align AI solutions with business objectives. Must-Have Skills: • 12+ years of total IT experience. • Hands-on experience with production-grade AI/ML projects, including at least two successful deployments. Strong expertise in: • API integration & inter-service communication (REST, Kafka) • Authentication/Authorization (OAuth2, JWT, Azure AD) • NLP techniques (NER, classification, chunking, summarization, QA) • RAG architectures and working with LLMs (OpenAI, Anthropic, etc.) • Vector databases (FAISS, Azure AI Search)