#EG AI Developer (Agentic AI Systems)

NCS; Singapore; On-site; SGD 140,000 - 210,000; Full time

Job summary

NCS is seeking an AI Developer to own the intelligent layer of our enterprise system, designing agentic AI architectures, stateful multi-agent networks and robust RAG pipelines. You will ensure reliability, security and high-consequence workflow handling in a production-grade environment.

Key focus areas include guardrails, prompt/data leakage mitigation, and deploying AI microservices via FastAPI in OCI/OpenShift, with strong emphasis on observability, parallel LLM invocation and CI/CD

Qualifications

• Expert-level Python for asynchronous AI applications.
• Mastery of LangGraph and LangChain for production-grade stateful systems.
• Proven success in developing RAG capabilities and retrieval techniques.
• Deep hands-on experience with vector DB, graph DB, NoSQL and RDBMS.

Responsibilities

• Design and build agentic AI architectures and multi-agent networks.
• Develop end-to-end RAG pipelines with high-precision retrieval.
• Implement guardrails for enterprise safety and data protection.
• Deploy AI microservices in OCI-compliant environments and OpenShift.
• Integrate AI evaluation in CI/CD pipelines and observability tooling.

Skills

Python expert

LangGraph

LangChain

RAG capabilities

Vector DB

Tools

OCI OpenShift

FastAPI

CI/CD pipelines

Job description

NCS is a leading AI Tech Services company. With a 15,000-strong team across the Asia Pacific, NCS scales its platforms and capabilities to provide clients with greater agility and AI expertise across a range of Industries. Embracing a strong ecosystem of global partners, NCS transforms technology services delivery combining AI with digital resilience to drive real business impact. NCS is a subsidiary of the Singtel Group.

Job Description

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 capable of solving complex workflows. You will be involved in developing sophisticated RAG capabilities and stateful multi-agentic networks, moving beyond simple chat to high-consequence autonomous systems.

What will you do?

1. Agentic AI Architecture & Development

• Design and implement stateful multi-agent networks and/or workflows usingLangGraphand/orLangChain.


• Architect and implement multi-layered guardrails to ensure agent actions remain within business scope, enterprise safety and policy boundaries.


• Build guardrails to mitigate risks such as prompt injection and data leakage.


• Develop sophisticated reasoning engines capable of handling complex, high-consequence autonomous workflows.


• Build and optimise end-to-endRAG (Retrieval-Augmented Generation) pipelines, focusing on high-precision retrieval and semantic search.


• Integrate diverse data sources including vector DB, graph DB, NoSQL, and RDBMS.


• Implement advanced RAG techniques such as chunking strategies, query expansion, re-ranking, and hybrid search.


• Apply prompt engineering and context engineering techniques to enhance retrieval quality.

3. AI Microservices & Deployment

• Build and maintain high-performance AI microservices optimised forOCI-compliant environments.


• Serve AI agents viaFastAPI, packaging and deploying in OCI-compliant environments andOCP (OpenShift Container Platform).


• Implement semantic caching and design for parallel LLM invocation to optimise performance.


• Integrate AI evaluation intoCI/CD pipelines(e.g., Jenkins, GitLab CI).

4. Performance Monitoring & Evaluation

• UseLLM evaluation frameworksto quantitatively measure agent performance.


• Leverage AI tracing, observability, and logging tools to identify and fix bottlenecks in complex reasoning paths.


• Monitor and continuously improve agent reliability, accuracy, and efficiency.

5. Cross-Functional Collaboration

• Partner with software teams to define data contracts and integrate information flow from AI layer to software backend and frontend.


• Collaborate with stakeholders to ensure AI solutions align with business objectives and technical requirements.


• Communicate effectively (written and verbal) with technical and non-technical stakeholders at all levels.

Qualifications

An ideal candidate should posses:

Technical Requirements

• Expert-level proficiency in Python, specifically for asynchronous AI applications.


• Mastery of LangGraph and LangChainfor building production-grade, stateful systems with human-in-the-loop verification patterns.


• Proven success in developing RAG capabilities, including experience with chunking strategies, advanced techniques like query expansion, re-ranking, hybrid search, etc.


• Deep hands-on experiencewith vector DB, graph DB, NoSQL, and RDBMS.


• Experience building guardrails to mitigate risks such as prompt injection and data leakage.


• Experience integrating AI evaluation intoCI/CD pipelines(e.g., Jenkins, GitLab CI).


• Experience serving AI agents viaFastAPI, packaging and deploying inOCI-compliant environmentsandOCP.


• Proficiency inAI tracing, observability, and logging toolsto identify and fix bottlenecks in complex reasoning paths.


• Experience implementingsemantic cachingand designing forparallel LLM invocation.


• Knowledge ofprompt engineeringandcontext engineeringtechniques.

Professional Experience

• At least 2–5 years of experiencein AI/ML development, with substantial work in production-grade agentic AI systems.


• Provencetrack record of deploying AI solutions in enterprise environments.


• Experience working in Agile or iterative development environments.

Personal Attributes

• Self-motivated with a positive "can-do" attitude.


• Strong problem-solving skills and ability to work independently.


• Excellent communication and collaboration skills.


• Ability to thrive in a fast-paced, innovative environment.

Bonus Qualifications (Preferred)

• Working knowledge of database query languages includingSQLandHiveQL(or equivalent).


• Working knowledge of buildingdata ETL pipelines.


• Knowledge in building or fine-tuningdeep learning models.


• Knowledge inmathematical statistical analysis.


• Experience with cloud platforms such asAWS, GCP, or Azure.


• Familiarity withDesign ThinkingorLean UXmethodologies.


• Exposure toscaled Agile frameworks(SAFe, LeSS).


• Experience working with distributed teams across multiple time zones.


• Proficiency in using collaboration tools likeMural, Miro, or Jamboard.

Additional Information

Why Join NCS?

Grow with Us

• Work on cutting-edge AI products that shape the future of technology


• Collaborate with talented, passionate teams across research, engineering, and design


• Access continuous learning opportunities and career development pathways

Make an Impact

• Transform AI research into products that solve real problems for clients and users


• Drive innovation in a leading Technology Services Firm with regional presence


• Contribute to building a better future through responsible, human-centred AI

Thrive in Our Culture

• Experience ahuman-to-humanapproach where relationships and collaboration matter


• Be part ofTeam NCS, where bold ideas meet practical execution


• Enjoy a supportive environment that values diversity, inclusion, and respect

We are driven by our AEIOU beliefs—Adventure, Excellence, Integrity, Ownership, and Unity—and we seek individuals who embody these values in both their professional and personal lives. We are committed to our Impact: Valuing our clients, Growing our people, and Creating our future.

Together, we make the extraordinary happen.

Learn more about us at ncs.co and visit our LinkedIn career site.