

KBC Technologies Group
AI Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Engineer with 12+ years of IT experience, focusing on NLP and AI/ML solution deployment. Contract length is unspecified, pay rate is "unknown," and remote work is allowed. Key skills include API integration, OAuth2, and vector databases.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
December 2, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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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
#ML (Machine Learning) #Kafka (Apache Kafka) #Classification #AI (Artificial Intelligence) #Azure #NLP (Natural Language Processing) #Scala #Langchain #API (Application Programming Interface) #Model Evaluation #REST (Representational State Transfer) #NER (Named-Entity Recognition) #Databases #Deployment
Role description
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)
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)






