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AI Solutions Engineer

Solutions EngineerSolutions EngineerContractRemoteSeniorTeam 1-10H1B No SponsorCompany SiteLinkedIn

Location

Philippines

Posted

3 days ago

Salary

$3K - $4K / month

Seniority

Senior

Job Description

AI Solutions Engineer

Hunt St

• 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.

Job 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.

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