AI Solutions Engineer

This is a fully remote position, open to applicants in Sri Lanka.

📋 Description

• Take ownership of the technical delivery for AI-driven solutions, automation, integrations, and internal AI operating systems.

• Collaborate with clients to evaluate technical feasibility and design tailored solutions.

• Develop AI-powered applications from the initial design phase to production and ongoing enhancements.

• Identify scalable solutions and convert them into reusable modules applicable across various client environments.

• Oversee technical aspects of client audits, evaluating systems, platforms, integrations, data, access, and limitations.

• Perform systems inventories that encompass platforms, licensing, administration, costs, and technical dependencies.

• Analyze integration capabilities, including APIs, webhooks, exports, and system constraints.

• Assess data quality, structure, accessibility, completeness, and interoperability.

• Conduct technical feasibility assessments and proof-of-concept experiments.

• Provide technical effort estimates for client recommendations.

• Design, develop, test, and implement AI agents, automations, integrations, internal tools, dashboards, and client portals.

• Support and enhance production AI solutions.

• Construct AI operating systems and tailor solutions for client settings.

• Ensure human approval for client-facing actions, communications, transactions, and critical business activities.

• Troubleshoot and consistently enhance production AI solutions.

• Build and sustain the organization's internal AI operating systems and technology stack.

• Create internal proposal engines, client portals, automation routines, and AI agents.

• Enhance internal efficiency through AI, automation, and system integration.

• Transform recurring project patterns into reusable modules.

• Develop reusable components, integrations, workflows, and technical patterns.

• Improve the reliability, scalability, security, and maintainability of existing solutions.

• Contribute to the development of technical standards, documentation, and best practices.

• Engage in client discovery sessions and technical audits.

• Convert business requirements into actionable technical solutions.

• Communicate technical constraints, risks, trade-offs, and recommendations to clients.

• Showcase completed solutions and incorporate feedback from stakeholders.

• Build trusted relationships with clients while maintaining technical integrity and realistic expectations.

⛳️ Requirements

• A minimum of 4 years of experience in building and deploying LLM-powered applications beyond conversational chatbots.

• Hands-on experience with AI agents, tool utilization, retrieval, structured outputs, prompt engineering, and context engineering.

• Familiarity with Claude Code, Anthropic API, and multi-agent orchestration.

• Strong knowledge of MCP (Model Context Protocol) connectors and tool integration.

• Ability to provide examples, repositories, demos, or production systems showcasing delivered work.

• Extensive full-stack development experience using TypeScript/Node.js and React.

• Experience with modern frameworks such as Next.js.

• Strong proficiency in relational databases, especially Supabase/PostgreSQL.

• Experience deploying production applications on platforms like Vercel.

• Solid understanding of REST APIs, webhooks, authentication, and third-party integrations.

• Experience with Git-based development workflows and maintaining version-controlled production code.

• Proven experience integrating third-party APIs, including those with limited or poorly documented interfaces.

• Familiarity with Microsoft Power Platform, including Power Automate, Power Apps, SharePoint, and Copilot Studio, or a demonstrated ability to quickly learn these technologies.

• Capability to assess unfamiliar systems and determine technical feasibility.

• Strong understanding of security, permissions, data handling, confidentiality, and governance.

• Ability to estimate technical effort based on investigation rather than assumptions.

• Excellent problem-solving abilities and sound technical judgement.

• Strong written and verbal communication skills.

• Comfortable participating directly in client discovery and audit sessions.

• Ability to clearly explain technical concepts, limitations, and recommendations to non-technical stakeholders.

• Confident in challenging assumptions and suggesting alternative solutions when necessary.

• At ease demonstrating solutions, receiving feedback, and adapting based on client requirements.

• Strong aptitude for identifying automation and AI opportunities beyond the initial client request.

🏝️ Benefits

• Compensation in Australian Dollars.

• Medical insurance from day one for you + spouse (or parents if unmarried).

• Comprehensive OPD coverage from doctor visits to all your medical needs.

• Home office setup allowance.

• Internet allowance.

• Gym & wellness allowance.

• Regular team events & engagement activities.

• Diji Assist – Mental health & counseling support.

• Reimbursement for industry certifications.

• Open-door culture.

• Flexible work options – home or office.

• Rewards & recognition.

• Christmas and financial year-end celebrations.