Senior AI Engineer – GenAI Applications
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior AI Engineer – GenAI Applications, hybrid in Knutsford, offering a competitive pay rate. Requires deep Python expertise, experience with GenAI applications, and familiarity with frameworks like LangChain and AutoGen. Banking industry experience preferred.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
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🗓️ - Date discovered
August 28, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Hybrid
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Knutsford, England, United Kingdom
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🧠 - Skills detailed
#Langchain #Automation #AI (Artificial Intelligence) #Python #Datasets
Role description
I am hiring for Senior AI Engineer – GenAI Applications
Location: Knutsford - Hybrid / 2-3 days Per week in Office
• Deep expertise in Python for building GenAI applications and automation tools.
• Hands-on experience taking GenAI applications beyond PoCs, utilizing scaling tools and frameworks such as Pylint, Pyright, etc.
• Strong working knowledge of frameworks like AutoGen, Crew.ai, LangGraph, LlamaIndex, and LangChain.
• Proven ability to design and implement systems for processing large-scale structured and unstructured data.
• Familiarity with deploying and integrating LLMs for text, vision, and speech use cases.
• Experience fine-tuning Small Language Models (SLMs) for domain-specific tasks and datasets.
Key Skills: GenAI applications / SLMs / Data Handling / Pylint / Banking / Python
I am hiring for Senior AI Engineer – GenAI Applications
Location: Knutsford - Hybrid / 2-3 days Per week in Office
• Deep expertise in Python for building GenAI applications and automation tools.
• Hands-on experience taking GenAI applications beyond PoCs, utilizing scaling tools and frameworks such as Pylint, Pyright, etc.
• Strong working knowledge of frameworks like AutoGen, Crew.ai, LangGraph, LlamaIndex, and LangChain.
• Proven ability to design and implement systems for processing large-scale structured and unstructured data.
• Familiarity with deploying and integrating LLMs for text, vision, and speech use cases.
• Experience fine-tuning Small Language Models (SLMs) for domain-specific tasks and datasets.
Key Skills: GenAI applications / SLMs / Data Handling / Pylint / Banking / Python
