AI Engineer - LLM Q&A & Retrieval Pipelines

Cognizant; Greater London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading technology company in Greater London is seeking a results-oriented AI Engineer to develop intelligent Q&A systems powered by large language models. You will be responsible for building, testing, and optimizing pipelines for automatic question-answering, focusing on performance tuning and collaboration with senior engineers. The ideal candidate has hands-on experience with machine learning and NLP, proficiency in Python, and strong problem-solving skills. Opportunities for career growth available.

Qualifications

• Hands-on experience with machine learning, NLP, or information retrieval projects, preferably with language models.
• Proficiency in Python and familiarity with deep learning/NLP libraries.
• Knowledge of vector databases or semantic search concepts is desirable.
• Eagerness to learn and strong problem-solving skills.
• Experience with Git and cloud infrastructure is a plus.

Responsibilities

• Build, fine-tune, and evaluate LLM-based Q&A models.
• Design prompt templates and implement retrieval strategies.
• Assist in creating data pipelines for training and testing.
• Collaborate with senior engineers and product managers.
• Participate in error analysis and performance tuning.
• Document code and workflows clearly.

Skills

Machine learning

Natural Language Processing (NLP)

Information retrieval

Python

Deep learning libraries

Problem-solving skills

Collaborative development workflows

Tools

AWS Bedrock

Langchain

HuggingFace Transformers

PyTorch

TensorFlow

Git

Cloud infrastructure (AWS, Azure, GCP)

Job description

A leading technology company in Greater London is seeking a results-oriented AI Engineer to develop intelligent Q&A systems powered by large language models. You will be responsible for building, testing, and optimizing pipelines for automatic question-answering, focusing on performance tuning and collaboration with senior engineers. The ideal candidate has hands-on experience with machine learning and NLP, proficiency in Python, and strong problem-solving skills. Opportunities for career growth available.