LLM & Generative AI Engineer

GenixBit Labs Pvt. Ltd.; Greater London; On-site; GBP 70,000 - 90,000; Full time

Job summary

GenixBit Labs Pvt. Ltd. is seeking an AI Engineer in London specializing in LLM fine-tuning and Generative AI. You will work on optimizing and tailoring models for specific applications, ensuring high performance in low latency environments.

The ideal candidate has over 3 years of experience in Natural Language Processing, strong knowledge of PyTorch and Hugging Face Transformers, and a solid background in software engineering practices. Join us to innovate and drive AI solutions in diverse domains.

Qualifications

• Minimum 3 years of experience in Natural Language Processing and Generative AI.
• Experience with PyTorch and Hugging Face Transformers.
• Strong software engineering practices and clean code.

Responsibilities

• Fine-tune open-source models like Llama, Mistral, Qwen.
• Optimize model deployment pipelines for efficiency.
• Build context management and semantic search solutions.

Skills

Natural Language Processing

Generative AI

PyTorch

Hugging Face Transformers

Software Engineering

Tools

vLLM

Ollama

Triton Inference Server

Job description

About the Role

Join our AI Engineering division in London to specialize in LLM fine-tuning, retrieval-augmented generation (RAG), and hosting private models. You will be responsible for tailoring deep learning models to specialized domain tasks.

Key Responsibilities

• Fine-tune open-source models (Llama, Mistral, Qwen) for specific domain functions
• Optimize model deployment pipelines for low latency and high throughput
• Build advanced context management and semantic search solutions
• Implement prompt evaluation frameworks and guardrail architectures

Requirements

• 3+ years of experience focusing on Natural Language Processing and Generative AI
• Hands-on experience with PyTorch, Hugging Face Transformers, and parameter-efficient fine-tuning (PEFT/LoRA)
• Experience deploying models with vLLM, Ollama, or Triton Inference Server
• Strong background in software engineering best practices and clean code