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.
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.
• 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.
• 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.
• 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.
• 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.
•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.
• Advanced proficiency in Python with hands-on experience using PyTorch and TensorFlow for developing,
training, and deploying AI/ML models.
• Proven experience deploying AI workloads on major cloud platforms (Azure, AWS, GCP).
• Strong experience with agentic frameworks (LangGraph, AutoGen, LangChain) and applications in SaaS
environments.
• Knowledge of advanced fine-tuning techniques such as LoRA and model optimization strategies.
• Solid understanding of REST APIs, data structures, algorithms, and object-oriented programming
concepts.
• Experience with databases and big data technologies (SQL/NoSQL, Spark, Hadoop).
• Expertise with RAG systems and vector databases (Pinecone, Weaviate, ChromaDB).
• Proficiency with Docker/Kubernetes, CI/CD pipelines, and LLMOps/MLOps best practices.
• Familiarity with JavaScript and Node.js for integrating AI/ML models into web services and APIs.
• 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.