Generative AI Engineer

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

Job summary

A technology consulting firm seeks a Gen AI Engineer to design and implement Generative AI models and algorithms. The role involves working with teams to ensure project deadlines are met while deploying AI solutions. Candidates should have experience in AI/ML pipelines, optimization techniques, and integrating AI with enterprise systems. This is a remote position that offers a competitive rate of £450-500 per day and a 6-month contract.

Qualifications

• Experience in implementing AI/ML pipelines for model training and deployment.
• Proven ability in managing model evaluation and continuous improvement.
• Familiar with optimizing inference performance and ensuring compliance with governance.

Responsibilities

• Design, prototype, and deploy Generative AI models for enterprise applications.
• Integrate AI solutions with enterprise systems and prepare training datasets.
• Document and present technical findings to leadership and clients.

Skills

Generative AI model design

Prompt engineering

Model optimization

Python

Collaboration with stakeholders

Tools

MLflow

Azure ML

Pinecone

Java

Node.js

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.