Why Work for Us

We Power the Nation.

Make the most of your talents and develop products that can create impact on a national scale. We are an in-house software team, assembled to move with speed and deliver with quality.

We Build Reliable Solutions. For Customers, Company and Country.

You will be part of the Digital Technology Team and together, you will innovate, create, and deploy digital products that will empower more than 3,800 employees within SP Group and improve the quality of life for more than 1.7 million commercial, industrial and residential customers that SP Group serves. We build solutions that enable sustainable high-quality lifestyles and help consumers save energy and cost, as well as supporting national goals for a sustainable liveable city.

Now, imagine the impact you can create.

What You'll Do:

We are seeking an AI Engineer who can operate across the full AI delivery lifecycle—from on-prem big data processing with Apache Spark, to Generative AI solution development, and stakeholder-facing solution enablement. This role bridges data engineering, AI engineering, and applied Gen AI, with a strong emphasis on production readiness and business impact.

You will work closely with data scientists, platform teams, and business stakeholders to design, build, deploy, and scale AI solutions in enterprise environments.

AI & Gen AI

• Collaborate with data scientists and domain experts to deploy, operationalize, and scale AI/ML and Generative AI models in production.
• Design and implement Gen AI solutions (e.g., LLM-based assistants, RAG pipelines, agent workflows) aligned with real business use cases.
• Optimize model inference performance, latency, and cost, ensuring scalability and reliability in production environments.
• Evaluate and prototype emerging AI technologies, frameworks, and architectures, translating them into practical implementations.

Big Data & On-Prem Platform Development

• Design and develop on-prem Apache Spark pipelines for large-scale data processing, feature engineering, and AI workloads.
• Integrate Spark-based data pipelines with downstream AI/ML and GenAI services.
• Work within enterprise constraints (on-prem, hybrid, security, data governance) to deliver robust and compliant solutions.

Platform Integration

• Build, containerize, and deploy AI services using Docker and Kubernetes (K8s) in on-prem or hybrid environments.
• Integrate AI solutions with Apache Kafka or similar streaming platforms for real-time or near-real-time processing.
• Develop and expose REST/gRPC APIs for AI services to enable easy consumption by downstream systems.
• Participate in code reviews, testing, CI/CD pipelines, and operational readiness activities to ensure production-grade quality.

Stakeholder Management & Enablement

• Engage with business and technical stakeholders to translate business problems into AI solutions.
• Support solution walkthroughs, pilots, and adoption efforts, ensuring stakeholders understand value, risks, and operational considerations.

What You'll Need:

• Strong proficiency in Python (preferred) or Node.js for AI and data-related development.
• Hands-on experience with Apache Spark (on-prem deployment, tuning, and job optimization).
• Practical experience with LLMs, RAG architectures, agent frameworks (e.g., CrewAI, LangGraph, etc.).
• Solid experience with Docker and Kubernetes, including deployment and troubleshooting.
• Working knowledge of Apache Kafka or equivalent messaging/streaming systems.
• Experience with Git, CI/CD pipelines, and operating AI services in enterprise environments (on-prem or cloud).
• Experience with MLOps platforms (e.g., MLflow, Kubeflow, custom pipelines).
• Knowledge of model optimization and inference acceleration (e.g., ONNX, vLLM, quantization).
• Web front-end development experience (React, Vue, or similar).
• Exposure to hybrid or air-gapped environments and enterprise security constraints.
• Prior experience supporting AI adoption or change management initiatives.
• Strong problem-solving and system design skills.
• Excellent communication and collaboration skills, with the ability to engage both technical and non-technical stakeholders.
• Comfortable working in ambiguous problem spaces and driving solutions end to end.

What We'll Provide

• Your ideas and contributions will be valued in a culture of innovation and change.
• You will work on projects that impact the quality of life for our customers.
• We have regular wellness programme to promote healthy living.