Senior AI Engineer – GenAI Applications

Senior AI Engineer – GenAI Applications

Posted 1 week ago by GIOS Technology

Negotiable
Undetermined
Hybrid
Knutsford, England, United Kingdom

Summary: The Senior AI Engineer – GenAI Applications role focuses on developing and implementing advanced GenAI applications and automation tools, requiring deep expertise in Python. The position is hybrid, with 2-3 days per week in the office, and emphasizes hands-on experience with scaling tools and frameworks. Candidates should possess strong knowledge of various AI frameworks and the ability to process large-scale data effectively.

Key Responsibilities:

  • Develop and implement GenAI applications and automation tools using Python.
  • Utilize scaling tools and frameworks such as Pylint and Pyright.
  • Design and implement systems for processing large-scale structured and unstructured data.
  • Deploy and integrate LLMs for text, vision, and speech use cases.
  • Fine-tune Small Language Models (SLMs) for domain-specific tasks and datasets.

Key Skills:

  • Deep expertise in Python.
  • Experience with GenAI applications and SLMs.
  • Strong data handling capabilities.
  • Familiarity with frameworks like AutoGen, Crew.ai, LangGraph, LlamaIndex, and LangChain.
  • Knowledge of banking sector applications.

Salary (Rate): undetermined

City: Knutsford

Country: United Kingdom

Working Arrangements: hybrid

IR35 Status: undetermined

Seniority Level: Senior

Industry: IT

Detailed Description From Employer:

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