AI Solutions Engineer
Posted 1ds ago
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Job Description
AI Solutions Engineer designing and deploying AI-powered applications for an Australian telecommunications client. Seeking Philippines-based candidates with strong technical and customer-facing skills.
Responsibilities:
- 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.

















