Generative AI Engineer

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

Job summary

A leading technology consulting firm is seeking a Gen AI Engineer to design, develop, and implement generative AI models. This remote role requires expertise in AI/ML pipelines and collaboration with stakeholders to ensure project success. The ideal candidate will have skills in Python, Java, and AI tools like MLflow and Azure ML. This is a 6-month contract offering a rate of 450-500 GBP per day. Join us to contribute to innovative AI solutions.

Qualifications

• Experience designing and implementing generative AI models and algorithms.
• Skilled in optimizing AI/ML pipelines for model training and deployment.
• Knowledge of AI ethics, security, and governance standards.

Responsibilities

• Design, prototype, and deploy Generative AI models for enterprise applications.
• Collaborate with teams to ensure timely project delivery.
• Integrate AI models with enterprise systems and APIs.

Skills

Designing Generative AI models

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.