Hands-on AI Engineer and Architect for Production GenAI

Reply, Inc.; Manchester; On-site; GBP 50,000 - 70,000; Full time

Job summary

Reply, Inc. is seeking a hands-on AI Engineering Consultant to design and deliver end-to-end AI solutions, utilizing tools like OpenAI. The role focuses on collaboration with clients and internal teams, particularly in building production-ready systems.

The ideal candidate will have strong software engineering skills, especially in Python, and experience in client-facing environments. Knowledge in cloud services (AWS/Azure) and exposure to agentic systems is also essential. This is an excellent opportunity to work on impactful AI projects while growing your skills.

Qualifications

• Strong hands-on software engineering experience, particularly Python and backend/API development.
• Proven experience building production-ready systems and practical delivery of LLM / GenAI applications.
• Ability to work across the full delivery lifecycle.
• Client-facing experience, translating business needs into solutions.

Responsibilities

• Design and build AI applications using OpenAI and related technologies.
• Develop production-ready systems across APIs, backend services, and user-facing applications.
• Deliver GenAI solutions including RAG pipelines and evaluation frameworks.
• Contribute across the full solution lifecycle: design, build, testing, deployment, and iteration.
• Support development of agentic systems.
• Optimise performance and maintainability in cloud environments.
• Work closely with clients to shape practical solutions.
• Communicate technical decisions to stakeholders.

Skills

Python

Backend/API development

Experience with LLM applications

Cloud experience (AWS/Azure)

Client-facing environments

OpenAI or similar LLM platforms

Vector databases

Familiarity with PyTorch or TensorFlow

Job description

Reply, Inc. is seeking a hands-on AI Engineering Consultant to design and deliver end-to-end AI solutions, utilizing tools like OpenAI. The role focuses on collaboration with clients and internal teams, particularly in building production-ready systems.

The ideal candidate will have strong software engineering skills, especially in Python, and experience in client-facing environments. Knowledge in cloud services (AWS/Azure) and exposure to agentic systems is also essential. This is an excellent opportunity to work on impactful AI projects while growing your skills.