KAI Partners: Technical Solutions Engineer/Web Developer

KAI Partners

Anywhere in the WorldFull-Time

Job description

Headquarters: Remote URL: http://kaipartners.com Description We are seeking a Technical Solutions Engineer / Web Application Developer to design, develop, and support internal and client‑facing web applications, data solutions, and AI‑enabled workflows within a consulting environment. This role is deeply hands‑on and application‑development focused, combining modern web engineering, backend database development, and applied AI integration to solve real business problems. The ideal candidate is comfortable owning features or small‑to‑medium applications end‑to‑end—translating evolving and sometimes incomplete business requirements into production‑ready solutions. Success in this role requires strong analytical and problem‑solving skills, sound engineering judgment, and a pragmatic approach to building systems that are maintainable, auditable, and supportable. This position also plays a key role in implementing AI capabilities responsibly, with attention to control, transparency, and long‑term sustainability. Essential Duties and Responsibilities: Reasonable accommodation may be made to enable individuals with disabilities to perform essential functions. Responsibilities include, but are not limited to, the following: Application Development & Support Design, build, enhance, and maintain internal and client-facing web applications Own application features across the full lifecycle, including design, development, testing, deployment, and production support Implement user workflows, data validation rules, audit tracking, and role-based access controls Troubleshoot and resolve issues across front-end, back-end, and database layers Backend & Database Development Design, implement, and maintain relational databases supporting application workflows, reporting, and audit requirements Define and manage database schemas, relationships, constraints, and documentation Translate business processes and reporting needs into structured, maintainable data models Manage schema evolution and controlled data changes as applications mature Data Modeling, Dashboards & Reporting Design and support backend data models for KPI dashboards, executive reporting, and trend analysis Translate incomplete, inconsistent, or evolving client and operational data into validated datasets Support Excel- and CSV-based data ingestion, validation rules, and update processes Build and maintain dashboards used by internal leadership and external clients AI-Enabled Application Development Integrate AI-assisted capabilities into production applications Implement prompt templates, structured inputs, validation rules, and guardrails to ensure data quality, usability, and responsible AI usage Contribute to practical automation and AI experimentation aligned with business and operational needs Client & Stakeholder Collaboration Partner with Program Managers, Operations teams, and Executive stakeholders to clarify requirements and recommend technical solutions Participate in working sessions, training, and technical walkthroughs Proactively identify risks, assumptions, and gaps when requirements are ambiguous Communicate technical concepts clearly to non-technical audiences Documentation & Operational Support Create and maintain: Technical documentation and developer notes Database schemas and data dictionaries Data templates and user instructions Architecture diagrams and change logs Monitor application performance, reliability, and data pipelines Support user access provisioning and role-based permissions Contribute to the continuous improvement of internal systems and development practices Perform other related duties as assigned Required Skills: Strong working knowledge of JavaScript-based web applications (front-end frameworks preferred) Experience designing and supporting backend application logic and relational databases Working knowledge of SQL, APIs, and web services Experience with data modeling and validation using Excel, CSV, and SharePoint-hosted sources Experience integrating AI capabilities into applications using structured prompts and guardrails Ability to translate business requirements into practical technical solutions Strong analytical and problem-solving skills Excellent written and verbal communication skills Ability to operate effectively in a fast-paced, consulting-driven environment Strong collaboration and stakeholder engagement skills Preferred Qualifications: 5+ years of professional experience in web application development, technical solutions engineering, or a closely related role. Experience owning full‑stack solutions end‑to‑end, including frontend, backend application logic, and database design within a single engagement or product. Experience with cloud‑hosted application platforms (e.g., Azure, AWS, or equivalent), including deployment, configuration, and monitoring. Familiarity with CI/CD pipelines and modern version control practices (e.g., Git/GitHub). Experience building or maintaining RESTful APIs or web services that integrate with third‑party systems or data sources. Working knowledge of data visualization tools or libraries used in dashboard development. Hands‑on experience integrating large language models (LLMs) or AI services into production‑grade applications. Experience designing prompt engineering frameworks, including structured inputs, output validation, and guardrails for responsible AI usage. Prior experience supporting public‑sector, regulated, or compliance‑sensitive environments where auditability and data integrity are critical. Familiarity with the Microsoft 365 ecosystem (SharePoint, Teams, Power Platform) as a data source or integration target. Experience working with geographically distributed or remote teams in a consulting or professional services setting. Demonstrated ability to self‑direct work with minimal oversight, including prioritizing tasks, managing competing deadlines, and escalating appropriate Education and Qualifications: Bachelor

Requirements

  • CMS Development, Cross-Browser Development, MySQL, PostgreSQL, SQL, Computer Vision, DevOps, NoSQL, PostgreeSQL, and Cross-Selling

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