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As a Senior Software Engineer in our AI Product Team, you will play a critical role in transforming how analysts process and analyse information. You will work at the forefront of applied AI, building intelligent systems that enhance sense-making, information discovery, and decision-support for national security.
In this role, you will design and develop AI-driven applications, such as retrieval-augmented generation (RAG) systems and intelligent automation workflows, as well as the supporting web systems and data processing pipelines that power these capabilities. You will contribute across the full technology stack, from backend services and data retrieval layers to frontend interfaces that bring AI functionalities to users. Our team focuses on applying and integrating AI technologies rather than model training or fine-tuning, emphasizing innovation, rapid experimentation, and real-world impact.
Responsibilities
Design, develop and deploy scalable AI-enabled digital products integrating retrieval, generation, and reasoning capabilities.
Scout, evaluate, and integrate emerging AI technologies to drive innovation.
Collaborate with analysts, AI engineers, data scientists, designers, and product managers to co-create solutions grounded in organisational needs.
Prototype rapidly and apply engineering best practices to experimental AI applications.
Shape technical strategy for sustainable and intelligent AI systems.
Uphold high software engineering standards, ensuring systems are robust, secure, and interoperable.
Requirements (Minimum Qualifications)
Background in Engineering, Computer Science, or related fields, with at least 3 years of relevant software development experience.
Strong programming skills in Python, Java, or similar languages, with proficiency in building backend services.
Experience integrating AI models, APIs, or frameworks into applications (e.g., Huggingface, LangChain, OpenAI API, open-source AI models).
Proficiency in frontend development with React or similar frameworks to build intuitive user interfaces for AI-enabled applications.
Solid understanding of system architecture design, software engineering best practices, and scalable service development.
Familiarity with data storage and retrieval technologies like relational databases, vector stores, or search engines.
Hands-on experience with build and deployment tools like Git CI/CD, Docker, and cloud environments.
Good analytical and problem-solving skills, with the ability to translate user needs into technical solutions.
Strong team player who collaborates across disciplines to achieve product goals.
Nice to haves
Interest or experience in rapid prototyping and AI-driven product innovation.
Experience with RAG systems, semantic search, or knowledge graphs.
Familiarity with AI evaluation practices and techniques for improving AI system performance.
Leadership experience in guiding technical teams or driving AI technology adoption.
Knowledge of agile methodologies such as Scrum.
Experience working with Elasticsearch, Neo4j, or similar search and graph databases.
Why join us?
You are, and can continue to be, one of the sharpest engineering minds that builds, innovates, and translates technologies into future-proofed digital solutions with precision and agility.
You will have plenty of opportunities to deepen your domain expertise while developing adjacent areas of interest and competencies as part of this diverse community
The products you lead to develop, together with us, will lay one of the core foundations for the next-generation digital products for our business users.
You, too, believe in harnessing data and best-in-class technologies to deliver simple, yet sophisticated products that power our analysts and leaders for the long run.
As CSIT is an agency under the Ministry of Defence (Singapore), only Singapore Citizens will be considered.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans.