AI Engineer

For over 16 years, WebLife has been a leader in the e-commerce industry, operating category-defining stores and serving as one of the largest distributors of mailboxes in the US. Our success comes from building data-driven operations and high-performing teams that thrive in fast-moving markets. Now, we are taking that foundation into a bold new venture, building an AI-powered product that will redefine how small and mid-sized businesses operate. We are a small, high-energy team that moves fast, works hands-on, and embraces the creativity and grit of a startup as we shape what the future of business looks like. By combining the agility of a startup with the backing of a proven e-commerce leader, we are creating an environment where ideas turn into impact and where you can help write the next chapter of business with AI.

About the Role

As a foundating AI Engineer for our new venture, you will be at the heart of building our AI-native SaaS product. You will have the unique opportunity to design, build, and operate the production-grade AI systems that form the core of our user-facing features. Your mission will be to translate complex business problems into cutting-edge AI solutions, including sophisticated LLM-powered agents, robust RAG systems for data interaction, and scalable, observable AI workflows. Working closely with product and data engineering, you will own the end-to-end lifecycle of AI model development and deployment, making a direct and visible impact on the product we ship to customers. This is a remote position open to candidates based in Sri Lanka, offering a chance to shape a global product from its earliest stages.

Key Responsibilities AI Workflow and Automation

• Architect and deploy end-to-end automation workflows, embedding AI capabilities into business-critical processes.
• Integrate workflows with Shopify, WooCommerce, HubSpot, Salesforce, and marketing tools to unify data and operations.
• Enhance traditional automation with AI-powered tasks, including contextual data extraction, summarization, classification, and content generation.
• Ensure observability and reliability through comprehensive logging, tracing, and performance monitoring.

Agentic System Development

• Build and deploy LLM and agent-based systems for customer interaction, product enrichment, and decision-making.
• Implement RAG pipelines using vector databases for context-aware responses.
• Apply prompt engineering, fine-tuning, and model optimization techniques to improve accuracy and efficiency.
• Develop conversational interfaces and tools that enable safe, deterministic agent behavior.

Data and Platform Engineering

• Design and maintain secure API and webhook integrations with third-party services, ensuring reliable data exchange.
• Operate low-latency inference services on cloud infrastructure with containerization.
• Implement LLMOps pipelines, including CI/CD for prompts/models, experiment tracking, monitoring, and automated rollouts.

Innovation and Governance

• Research and prototype emerging AI frameworks and tools to maintain a competitive advantage.
• Establish evaluation frameworks to measure AI system performance and reliability.
• Implement responsible AI practices, including guardrails, content filtering, and compliance with industry standards.

Requirements Education & Experience

•Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, or a related field.

• 1+ years of experience in AI Engineering, Data Science, or ML Engineering roles.
• Experience with international clients, particularly in the US, UK, European, or Australian markets, preferred.

Technical Skills Core Competencies

• Excellent problem-solving abilities, with the capacity to translate research ideas into production-grade systems.
• Strong communication and collaboration skills for cross-functional team environments.
• Ability to adapt quickly to new tools, frameworks, and research advancements.
• Experience building maintainable, observable, and scalable AI systems.

• Competitive USD-based compensation packages
• A flexible, work-from-home setup as part of a globally connected team
• AI-driven, innovation-focused projects
• A culture that encourages curiosity and lifelong learning
• Clear career paths and personal development opportunities

Join us to build a global product from the ground up and redefine how businesses run with AI.

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