Generative AI Engineer

Avensys Consulting UK; Remote; GBP 125,000 - 150,000; Full time

Job summary

A technology consultancy is seeking a Gen AI Engineer to design and implement generative AI models and algorithms. This role involves collaborating with cross-functional teams to meet project deadlines while managing data, implementing AI/ML pipelines, and optimizing model performance. Ideal candidates should have experience with tools like MLflow and Azure ML, and be proficient in Python or Java. This position is remote, offering a competitive daily rate of 450-500 GBP inside IR35 for a 6-month contract.

Qualifications

• Experience designing and implementing AI models focused on generative applications.
• Comfortable creating and managing datasets for training AI systems.
• Understanding of AI ethics and compliance in model deployment.

Responsibilities

• Design, prototype, and deploy generative AI models for enterprise applications.
• Collaborate with stakeholders to identify AI use cases.
• Document and present technical findings and design solutions.

Skills

Generative AI model design

AI/ML pipeline implementation

Prompt engineering

Data preprocessing

Collaboration with stakeholders

Tools

MLflow

Vertex AI

Azure ML

Python

Java

Node.js

Pinecone

Weaviate

FAISS

Chroma

Job description

Role: Gen AI Engineer

Location: Remote

Contract: 06 Months

Rate: 450-500 GBP Per Day – Inside IR35 MAX

The Gen AI Engineer will be a specialized type of artificial intelligence professional, focused on designing, developing & implementing generative AI models and algorithms. Working collaboratively with the team to ensure project deadlines are met.

• Design, prototype, and deploy Generative AI models (LLMs, Transformers, Diffusion models) for enterprise use cases.
• Build and fine-tune LLM-based applications (chatbots, summarization, document Q&A, report generation, code assistants, etc.).
• Apply prompt engineering, RAG (Retrieval-Augmented Generation), and context-aware pipelines to ensure accuracy and relevance.
• Integrate AI models with enterprise systems, APIs, and data stores using Python, Java, or Node.js backends.
• Collaborate with architects to define scalable and secure AI service architectures.

Experience in the following

• Implementing AI / ML pipelines for model training, validation, and deployment (using tools such as MLflow, Vertex AI, or Azure ML).
• Manage model evaluation, drift monitoring, and continuous improvement processes.
• Optimize inference performance and cost (e.g., model compression, quantization, API optimization).
• Ensure compliance with AI ethics, security, and governance standards.
• Prepare and curate training datasets (structured / unstructured text, images, code).
• Apply data preprocessing, tokenization, and embedding generation techniques.
• Work with vector databases (Pinecone, Weaviate, FAISS, Chroma) for semantic retrieval use cases.
• Partner with business stakeholders to identify and shape AI use cases.
• Contribute to the creation of a strategic AI adoption roadmap and reusable AI Workbench / platform components.
• Support POCs, pilots, and full-scale implementations with agile delivery.
• Document and present solution designs, technical findings, and results to leadership and clients.