AI Engineer – Data and Advanced Analytics

John Keells Holdings PLC

Full-Stack AI Engineer developing advanced AI solutions for Sri Lanka’s largest conglomerate, John Keells Holdings PLC. Working with a world-class team to enhance data-driven decision-making.

Posted 5/26/2026full-time🇱🇰 Sri LankaMid-LevelSeniorWebsite

ATS Keywords

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Hard Skills

AI ApplicationsAI model APIsdocument ingestionembedding generationvector DB selectionprompt engineeringbackend systemsfrontend technologiesdatabase systemscloud platforms

Soft Skills

collaborationcode reviewscommunicationproblem solvingleadershipproactive approach

Tools & Technologies

Google VertexAzure OpenAIHugging FaceChromaPineconeMilvusFastAPINode.jsDockerKubernetes

Certifications & Qualifications

Bachelor's degreeMaster's degree

Industry Keywords

GenAIAgentic AI FrameworksMySQLPostgreSQLMongoDBReactNextJSAWSAzureGoogle Cloud

Tech Stack

Tools & technologies

AWSAzureCloudDockerJavaScriptKubernetesMongoDBMySQLNext.jsNode.jsNoSQLPostgresReact

About the role

Key responsibilities & impact

Design, develop, and maintain high-quality AI Applications.
Build and maintain AI services that integrate AI model APIs (Google Vertex, Azure OpenAI, Hugging Face, etc.), manage session/state, rate limits, caching, and privacy controls.
Implement ingestion and retrieval pipelines: document ingestion, embedding generation, vector DB selection (Chroma, Pinecone, Milvus), and RAG orchestration.
Create robust prompt/context engineering patterns, templates, and safety filters to control hallucination, cost and user intent.
Implement scalable and efficient backend systems using state-of-the-art technologies (e.g., FastAPI, Node.js)
Design and implement intuitive and optimized user interfaces and frontend functionalities as needed.
Ensure infra, deployment and reliability: containerization (Docker), orchestration (Kubernetes), serverless options, CI/CD, monitoring, logging and incident response.
Collaborate with cross-functional teams to develop AI applications, implement new features and functionalities.
Discuss, contribute ideas, give meaningful code reviews and communicate accurately and effectively.

Requirements

What you’ll need

A bachelor’s or master’s degree in Computer Science, Computer Engineering, Statistics, Mathematics, or a related field.
Proven track record of designing, developing, and maintaining complex, responsive AI applications as a Full Stack AI Engineer.
Thorough understanding in GenAI and Agentic AI Frameworks (e.g., LangGraph, LlamaIndex, etc.)
Strong proficiency in backend technologies (e.g., FastAPI, Node.js).
Experience with database systems, both relational (e.g., MySQL, PostgreSQL) and NoSQL (e.g., MongoDB).
Experience in frontend technologies (e.g., React, NextJS)
Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes).
Proven ability to analyze and solve complex technical problems independently.
Leadership qualities and a proactive approach to fostering a positive and collaborative team environment.

Benefits

Comp & perks

Equal opportunity employer
Collaboration with local and international clients