AI Engineer

WeBuild-AI
Greater London
1 month ago
Applications closed

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Co-Founder of WeBuild-AI, The AI Native Transformation Consultancy

About WeBuild-AI:

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.

Our Purpose:
We're on a mission to reinvent what's possible with AI in enterprise environments. Our AI Engineers don't just implement solutions—they discover new patterns of working with AI that revolutionise entire business processes. We believe AI will fundamentally transform how organisations operate, and we're looking for pioneers who want to lead this transformation, working at the absolute cutting edge of what's possible with today's most advanced AI technologies.

Role Overview:
As an AI Engineer at WeBuild-AI, you will design, develop, and deploy innovative AI solutions that transform our clients' businesses. You'll leverage cutting-edge language models, agent frameworks, and our Pathway platform to create high-impact AI applications that deliver 10x value. You'll be given the freedom to experiment and push boundaries, discovering new ways AI can solve complex enterprise challenges.

Key Responsibilities:

  1. Design and develop AI solutions using language models and agent frameworks.
  2. Implement and customise agent frameworks like Autogen and LangGraph.
  3. Integrate AI capabilities with client systems, custom built digital products and data sources.
  4. Collaborate with Data Engineers to ensure optimal data structures for AI applications.
  5. Work directly with clients to understand requirements and deliver transformative solutions.
  6. Support customers with change management, education and awareness to re-skill their workforce to use AI safely and securely.
  7. Contribute to the ongoing development of our Pathway platform.
  8. Pioneer new approaches to AI implementation that haven't been tried before.
  9. Challenge conventional wisdom about what's possible with current AI technologies.

Required Skills & Experience:

  1. Experience with AWS AI services (e.g., AWS Bedrock, SageMaker Studio, Lambda, EKS) and/or Azure AI services (e.g., Azure OpenAI, Azure Cognitive Service, Azure ML).
  2. Experience with designing, building and operating production grade generative AI systems.
  3. Understanding of agent based monitoring systems like Langfuse and Open Telemetry.
  4. Proficiency with agent frameworks (Autogen, LangGraph).
  5. Strong Python programming skills for AI development and integration.
  6. Experience with containerisation (Docker, Kubernetes) for deploying and scaling AI solutions.
  7. Understanding of vector databases and embeddings.
  8. Familiarity with AI developer tools like Cursor and GitHub Copilot and desire to use them to 10x your throughput.
  9. Software engineering skills and best practices.
  10. Strong problem-solving abilities and creative thinking, with critical thinking credentials to solve complex business challenges across a range of industries.

The Mindset We Value:

Relentless Innovation:We're looking for individuals who are constantly exploring the edges of what's possible with AI. You should be the type who stays up late testing new approaches just to see what might work.

Flexible Methodology: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.

"Can Do" Attitude: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.

Balanced Perspective:While pushing boundaries, you must maintain a grounded understanding of enterprise realities, balancing innovation with practical implementation.

Growth Opportunities:

  1. Create intellectual property and novel implementation approaches.
  2. Work across multiple industries to develop deep domain expertise.
  3. Contribute to the evolution of our proprietary AI methodology.
  4. Participate in the AI research community and establish thought leadership.
  5. Shape new AI services and capabilities within our Pathway platform.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Engineering and Information Technology

Industries

IT Services and IT Consulting

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