AI Solutions Engineer

Role Overview

• Review and analyse internal business processes, customer interactions, and operational workflows to identify opportunities for AI-driven automation, efficiency improvements, and enhanced customer experiences.
• Design and develop AI solutions that address operational challenges, with consideration for how they can be standardized, packaged, and deployed across multiple customers and industries.
• Work closely with stakeholders to gather requirements, understand business needs, and translate them into scalable AI applications and workflows.
• Evaluate the performance of deployed AI solutions using productivity, service, and customer experience metrics, continuously refining outcomes.
• Identify repeatable business challenges and develop reusable AI frameworks, tools, and integrations that contribute to the company's AI solutions portfolio.
• Contribute to the development of commercial AI products by transforming successful internal solutions into customer-ready offerings.
• Build and maintain secure, high-performance APIs to support AI integrations and business applications.
• Develop intuitive, responsive front-end interfaces that enhance the user experience of AI-powered applications.
• Integrate large language models (LLMs) such as OpenAI, Anthropic, and other AI platforms into production-ready solutions.
• Implement Model Context Protocol (MCP) or similar integration patterns to enable seamless AI workflows and tool connectivity.
• Design and implement Retrieval-Augmented Generation (RAG) solutions using enterprise knowledge sources.
• Build, manage, and optimize AI knowledge bases and vector databases such as Pinecone, Weaviate, or similar platforms.
• Integrate AI capabilities into existing business systems, including CRM platforms and internal applications.
• Develop AI workflows and agent-based solutions using orchestration frameworks such as LangChain, Semantic Kernel, or equivalent technologies.
• Deploy, monitor, and optimize AI applications using AWS infrastructure and cloud services.
• Rapidly prototype AI solutions, gather stakeholder feedback, and iterate to improve functionality and performance.
• Collaborate with cross-functional teams to deliver scalable, production-ready AI solutions.

Requirements

• Demonstrated ability to analyse business processes and identify opportunities for automation, productivity improvements, and operational efficiencies.
• Experience designing AI solutions that balance technical excellence with practical business outcomes and can be scaled into reusable products or services.
• Strong customer and commercial awareness, with the ability to engage both technical and non-technical stakeholders to gather requirements and drive solution adoption.
• Proven experience in API development and integration for modern web applications.
• Strong front-end development skills with the ability to build intuitive, responsive user interfaces.
• Experience implementing Model Context Protocol (MCP) or similar AI integration frameworks.
• Hands-on experience working with multiple large language model (LLM) providers, such as OpenAI, Anthropic, or comparable technologies.
• Strong proficiency in Python, including Django, Flask, or FastAPI; experience with PHP/Laravel is an advantage.
• Experience designing, deploying, and managing applications on AWS cloud infrastructure.
• Experience integrating AI capabilities into existing business systems, including CRM platforms and enterprise applications.
• Familiarity with AI orchestration frameworks such as LangChain, Semantic Kernel, or similar technologies.
• Strong understanding of Retrieval-Augmented Generation (RAG) architectures and experience building AI knowledge bases using vector databases such as Pinecone, Weaviate, or equivalent.
• Ability to rapidly prototype, test, and iterate AI solutions based on stakeholder feedback.
• Strong analytical, problem-solving, and collaboration skills, with the ability to thrive in an agile development environment.

Tech Stack

• AWS
• Cloud
• Django
• Flask
• Laravel
• PHP
• Python