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As a Data Engineer , you will be responsible for developing and maintaining scalable data pipelines, integrating multiple data sources, and ensuring high-quality data processing for analytics, reporting, and machine…
As a Full Stack Software Engineer (Java) , you will be responsible for developing, testing, and maintaining end-to-end application solutions across both frontend and backend technologies. You will work on resource…
NCS is seeking an experienced Cloud Data Platform Solution Architect to lead the design, setup, and implementation of a modern, secure, and scalable cloud data platform. This platform will be built on AWS and will…
As a Data Solution Architect , you will act as a senior, client-facing technical leader responsible for translating complex government and agency requirements into secure, scalable, and compliant end-to-end data…
Application DBA (Apps DBA) is responsible to perform database Administration activities such as database setup, defining/maintaining database objects, backup and recovery. He/she is also involved in database design and…
We are looking for an AI Developer to play a key role in building our agentic reasoning engines. You will own the intelligent layer of our bespoke enterprise system, ensuring our AI agents are reliable, secure, and…
As an AI Product Engineer, you will design and develop the systems that let AI perceive, reason about, and act in physical space — turning buildings into intelligent, responsive environments for robots and people. What…
Provide support and facilitate solution team comprising of technical presales, competency / practice towers subject-matter-expert (SME), product principal, and solution partners in proposing innovative end-to-end ICT…
Design, test, and refine LLM prompts and AI interaction patterns, applying PromptOps practices and collaborating with product/engineering teams to ensure safe, accurate outputs for enterprise and public-sector clients.
The intern will be working with NCS’s Aviation business development team in identifying and developing technology opportunities across aviation operators and airport-related organisations. The intern will be involved…
Cloud Platform Engineer responsible for developing, implementing, and managing AWS cloud infrastructure—including CI/CD pipelines, Infrastructure as Code via CloudFormation, and production maintenance—within an agile, cross-functional team supporting a large customer cloud environment.
Designs and leads secure, scalable Gen AI applications across frontend, backend, cloud, and agentic AI layers, setting architecture direction, mentoring teams, and ensuring production-ready solutions using RAG, LLMOps, and multi-cloud platforms.
This Senior Data Engineer role focuses on designing and delivering AI-ready data pipelines for production-grade RAG and vector search systems. The position involves building batch and streaming workflows, ensuring data quality and governance, and collaborating closely with AI engineers to support client engagements.
Build and productionize LLM-powered features: design prompts, integrate foundation models, automate evaluation/benchmarking, and monitor quality, safety, and cost for GenAI solutions.
Builds and deploys Gen AI applications from POC to production, handling both frontend (ReactJS) and backend (Python/FastAPI) development, cloud AI integrations, and dynamic workflows.
Data Scientist applying statistical modelling and classical ML to validate and benchmark Gen AI solutions within NCS AI Central's Forward Deployed Engineering model, primarily using Python and SQL.
AI Engineer designing and running rapid experiments on Gen AI models, prompts, and RAG retrieval strategies within Forward Deployed Engineering engagements at NCS AI Central, using Python, cloud AI services (AWS Bedrock, Vertex AI, Azure AI Foundry), and agentic orchestration frameworks.
The AI Delivery Project Manager / Scrum Master leads the end-to-end delivery of AI and Gen AI projects, managing the lifecycle from proof-of-concept to production. They facilitate Agile ceremonies, manage stakeholder expectations, and ensure technical feasibility and governance compliance across multidisciplinary engineering squads.
This role involves architecting and managing cloud infrastructure for AI solutions, ranging from proof-of-concept environments to production-grade systems. The engineer will work across AWS, Azure, and GCP to deploy secure, scalable infrastructure and integrate generative AI models.
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