AI engineer in enterprise environments

WeBuild-AI; Greater London; Hybrid; GBP 120,000 - 160,000; Full time

Job summary

WeBuild-AI is a London-based AI native consultancy delivering rapid, data-driven value to enterprise clients. We combine expert teams with our AI Launchpad and industry-aligned models to transform how clients design, build, and operate AI-powered software at scale.

The role leads the design and development of AI solutions, integrates with client systems, mentors engineers, and helps evolve our Pathway platform. Hybrid work with three days in the London office.

Qualifications

• Production-grade AI/ML or LLM systems experience.
• Experience with AWS or Azure AI services.
• Strong Python programming with AI frameworks.
• Ability to mentor mid-level and junior engineers.
• Excellent communication with clients and cross-functional teams.

Responsibilities

• Lead design and development of AI solutions using language models and agent frameworks.
• Implement and customise agent frameworks such as Autogen and LangGraph for production-grade systems.
• Integrate AI capabilities with client systems, data sources, and digital products in collaboration with data engineers.
• Translate client requirements into scalable, secure, and high-performing AI applications.
• Oversee technical quality across project teams and mentor engineers.
• Stay current with emerging AI tools and frameworks, and improve team workflows.

Skills

Python

AWS/Azure AI services

Autogen

LangGraph

MLOps

Docker

Kubernetes

Langfuse/OpenTelemetry

CI/CD

Cross-functional collaboration

Tools

Autogen

LangGraph

Langfuse

OpenTelemetry

Docker

Kubernetes

Job description

Описание:

WeBuild-AI are AI natives delivering 10x value for enterprise organisations. We combine highly skilled experts with our AI Launchpad, industry-aligned language models, and agents to transform enterprise organisations into AI-powered and data-driven businesses. We work with enterprise organisations on a global stage, reinventing how they design, build, and operate AI powered software at scale with speed.

Задачи:

Lead the design and development of AI solutions using language models and agent frameworks. Implement and customise agent frameworks such as Autogen and LangGraph for production-grade systems. Integrate AI capabilities with client systems, digital products, and data sources in collaboration with data engineers. Translate client requirements into scalable, secure, and high-performing AI applications. Oversee technical quality across project teams, mentoring mid-level and junior engineers. Support clients with AI adoption, education, and safe implementation practices. Contribute to the evolution of our internal AI delivery platform (Pathway) and engineering standards. Stay current with emerging AI tools and frameworks, introducing improvements to team workflows.

Требования:

Proven experience designing and deploying production-grade AI/ML or LLM systems. Expertise with AWS or Azure AI services (e.g., Bedrock, SageMaker, OpenAI, Cognitive Services). Strong Python programming skills with hands-on experience using frameworks like Autogen and LangGraph. Solid grounding in MLOps, containerisation (Docker, Kubernetes), and vector databases. Understanding of agent monitoring tools (Langfuse, OpenTelemetry). Strong software engineering best practices (testing, CI/CD, code reviews). Excellent communicator able to work with cross-functional teams and clients. Desire to experiment, iterate, and push the boundaries of practical AI. We're looking for individuals who are constantly exploring the edges of what's possible with AI. Traditional development approaches don't always apply to AI. We need people who can adapt their working methods to the unique characteristics of AI systems, embracing experimental approaches when appropriate. When faced with a seemingly impossible challenge, your response should be "let's figure out how" rather than "it can't be done." We value determined problem-solvers who find a way forward. While pushing boundaries, you must maintain a grounded understanding of enterprise realities, balancing innovation with practical implementation.

Условия:

Develop expertise with emerging AI models and capabilities before they reach mainstream adoption. Create intellectual property and novel implementation approaches. Work across multiple industries to develop deep domain expertise. Contribute to the evolution of our proprietary AI methodology. Participate in the AI research community and establish thought leadership. Shape new AI services and capabilities within our Pathway platform. This role is hybrid and we come into our London based office 3 days a week.