- Outram Central Region (Singapore) Singapore
Full Time Fullstack Software Engineer – GenAI - Agentic Solutions Jobs, Salary up to SGD 8,000 in Cmc-apac Private Limited Central Region (Singapore) - Maukerja
Fullstack Software Engineer – GenAI - Agentic Solutions
Cmc-apac Private Limited
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Job Description
Responsibilities
Position Overview
Seeking a hands-on Software Engineer to collaborate closely with business stakeholders and leverage an enterprise Generative AI platform to deliver impactful AI-driven and automation capabilities. The role involves working directly with users, understanding operational challenges, shaping solutions, building applications and agentic workflows, and driving adoption from concept to production.
Primary Duties
Business Engagement & Requirements Definition
Work alongside business teams to understand existing processes, operational challenges, data considerations, constraints, and target outcomes.
Conduct discovery workshops and requirement-gathering sessions.
Convert business needs into use cases, user stories, solution blueprints, and measurable success metrics.
Challenge assumptions and help stakeholders prioritize opportunities.
Prototype Development & Delivery
Quickly develop proof-of-concepts and prototypes for user validation.
Gather feedback and continuously refine solutions.
Transition validated concepts into production-grade implementations while maintaining engineering quality.
Agent & Workflow Development
Design, develop, and maintain AI agents and workflow orchestration solutions.
Utilize technologies such as LangGraph, LangChain, n8n, or equivalent frameworks.
Implement reasoning flows, tool integrations, state management, approval processes, exception handling, and workflow controls.
Application Engineering
Develop custom software applications tailored to business requirements.
Build backend services, APIs, integrations, authentication components, workflow engines, and user-facing interfaces where required.
Data Integration & Knowledge Services
Build data ingestion, transformation, retrieval, and processing pipelines.
Integrate enterprise applications, databases, document repositories, APIs, search platforms, and vector-based retrieval services.
Ensure proper governance around data quality, lineage, and access control.
Backend Development & Database Management
Develop scalable and secure backend systems and APIs.
Design and optimize relational database structures using technologies such as Python, FastAPI, and PostgreSQL.
Troubleshoot integration, performance, state-management, and operational issues.
AI Evaluation & Monitoring
Define testing approaches, acceptance criteria, and evaluation datasets.
Measure solution effectiveness, reliability, latency, operational cost, and tool execution success.
Implement monitoring, tracing, and observability capabilities.
Improve prompts, retrieval methods, workflows, and safety mechanisms through continuous iteration.
Security & Responsible AI
Apply secure development practices and data protection controls.
Implement least-privilege access, auditability, human oversight, prompt-injection protection, and output governance measures.
Align solutions to organizational security and risk requirements.
Production Rollout & Knowledge Transfer
Lead production readiness activities, deployment, testing, documentation, and support.
Enable users through training and adoption activities.
Monitor business outcomes and identify opportunities to enhance reusable platform capabilities.
Required Qualifications
Professional Experience
Minimum 5 years of software engineering experience with ownership of production applications from requirements definition through deployment and operational support.
Backend Engineering
Strong expertise in Python or a modern backend programming language.
Experience in API development, integration patterns, asynchronous processing, testing, debugging, and solution architecture.
Data & Database Skills
Strong experience working with relational databases, particularly PostgreSQL.
Knowledge of data modeling, query optimization, data pipelines, enterprise search, and vector retrieval services.
Generative AI Experience
Experience building LLM-powered applications, RAG platforms, tool-calling agents, agentic workflows, or automation solutions.
Familiarity with LangGraph, LangChain, LlamaIndex, n8n, or equivalent technologies.
Cloud Technologies
Experience deploying and operating cloud-native solutions.
Knowledge of AWS services such as Bedrock and OpenSearch is advantageous.
Equivalent experience in Azure or Google Cloud environments is acceptable.
Stakeholder Management
Ability to communicate effectively with technical and non-technical audiences.
Experience facilitating discussions, gathering requirements, managing expectations, and supporting adoption.
Working Style
Comfortable operating in ambiguous environments.
Able to quickly learn unfamiliar business domains.
Capable of balancing speed of delivery, user value, security, reliability, and maintainability.
Preferred Experience
Consulting, solutions engineering, internal product delivery, or forward-deployed engineering experience.
Experience with workflow automation platforms such as n8n or Flowise.
Exposure to LLM evaluation, observability, red-teaming, tracing, or AI quality assurance methodologies.
Experience supporting applications in highly regulated environments with stringent privacy, cybersecurity, accessibility, or public-sector compliance requirements.
Company Overview – CMC APAC
CMC APAC Pte. Ltd.
, a member of
CMC Global
under
CMC Corporation,
is a Singapore-based regional hub delivering ICT and digital transformation solutions across the Asia-Pacific region.
As the Asia-Pacific arm of CMC Global, CMC APAC extends the Group’s technological expertise into one of the world’s most dynamic digital markets. Building on a strong foundation as a leading digital transformation (DX) provider in Vietnam, we serve as a strategic hub for delivering AI, Data, Cloud, and next-generation technology solutions across the region.
About CMC Global
CMC Global is a leading technology and AI transformation services provider, serving over 300 global clients across industries such as:
Banking & Financial Services
Healthcare
Manufacturing
Automotive
The company delivers end-to-end solutions in AI, Data, Cloud, and Digital Transformation, supporting enterprises in solving complex business challenges at scale.
Founded in 2017, CMC Global builds upon the long-standing legacy of CMC Corporation (established in 1993), one of Vietnam’s leading technology groups, with a vision to bring Vietnamese ICT solutions to the global market.
Global Presence & Capabilities
With an international network spanning Asia-Pacific, Europe, and North America, CMC Global provides:
24/7 global delivery capability
Strong engineering talent pool
Scalable and cost-effective delivery models
At CMC APAC, we combine global delivery excellence with local market expertise to support enterprises in achieving:
Operational efficiency
Business growth
Sustainable, long-term value
Learn More
CMC APAC: https://cmc-apac.sg/
CMC Global: *************
Seeking a hands-on Software Engineer to collaborate closely with business stakeholders and leverage an enterprise Generative AI platform to deliver impactful AI-driven and automation capabilities. The role involves working directly with users, understanding operational challenges, shaping solutions, building applications and agentic workflows, and driving adoption from concept to production.
Primary Duties
Business Engagement & Requirements Definition
Work alongside business teams to understand existing processes, operational challenges, data considerations, constraints, and target outcomes.
Conduct discovery workshops and requirement-gathering sessions.
Convert business needs into use cases, user stories, solution blueprints, and measurable success metrics.
Challenge assumptions and help stakeholders prioritize opportunities.
Prototype Development & Delivery
Quickly develop proof-of-concepts and prototypes for user validation.
Gather feedback and continuously refine solutions.
Transition validated concepts into production-grade implementations while maintaining engineering quality.
Agent & Workflow Development
Design, develop, and maintain AI agents and workflow orchestration solutions.
Utilize technologies such as LangGraph, LangChain, n8n, or equivalent frameworks.
Implement reasoning flows, tool integrations, state management, approval processes, exception handling, and workflow controls.
Application Engineering
Develop custom software applications tailored to business requirements.
Build backend services, APIs, integrations, authentication components, workflow engines, and user-facing interfaces where required.
Data Integration & Knowledge Services
Build data ingestion, transformation, retrieval, and processing pipelines.
Integrate enterprise applications, databases, document repositories, APIs, search platforms, and vector-based retrieval services.
Ensure proper governance around data quality, lineage, and access control.
Backend Development & Database Management
Develop scalable and secure backend systems and APIs.
Design and optimize relational database structures using technologies such as Python, FastAPI, and PostgreSQL.
Troubleshoot integration, performance, state-management, and operational issues.
AI Evaluation & Monitoring
Define testing approaches, acceptance criteria, and evaluation datasets.
Measure solution effectiveness, reliability, latency, operational cost, and tool execution success.
Implement monitoring, tracing, and observability capabilities.
Improve prompts, retrieval methods, workflows, and safety mechanisms through continuous iteration.
Security & Responsible AI
Apply secure development practices and data protection controls.
Implement least-privilege access, auditability, human oversight, prompt-injection protection, and output governance measures.
Align solutions to organizational security and risk requirements.
Production Rollout & Knowledge Transfer
Lead production readiness activities, deployment, testing, documentation, and support.
Enable users through training and adoption activities.
Monitor business outcomes and identify opportunities to enhance reusable platform capabilities.
Required Qualifications
Professional Experience
Minimum 5 years of software engineering experience with ownership of production applications from requirements definition through deployment and operational support.
Backend Engineering
Strong expertise in Python or a modern backend programming language.
Experience in API development, integration patterns, asynchronous processing, testing, debugging, and solution architecture.
Data & Database Skills
Strong experience working with relational databases, particularly PostgreSQL.
Knowledge of data modeling, query optimization, data pipelines, enterprise search, and vector retrieval services.
Generative AI Experience
Experience building LLM-powered applications, RAG platforms, tool-calling agents, agentic workflows, or automation solutions.
Familiarity with LangGraph, LangChain, LlamaIndex, n8n, or equivalent technologies.
Cloud Technologies
Experience deploying and operating cloud-native solutions.
Knowledge of AWS services such as Bedrock and OpenSearch is advantageous.
Equivalent experience in Azure or Google Cloud environments is acceptable.
Stakeholder Management
Ability to communicate effectively with technical and non-technical audiences.
Experience facilitating discussions, gathering requirements, managing expectations, and supporting adoption.
Working Style
Comfortable operating in ambiguous environments.
Able to quickly learn unfamiliar business domains.
Capable of balancing speed of delivery, user value, security, reliability, and maintainability.
Preferred Experience
Consulting, solutions engineering, internal product delivery, or forward-deployed engineering experience.
Experience with workflow automation platforms such as n8n or Flowise.
Exposure to LLM evaluation, observability, red-teaming, tracing, or AI quality assurance methodologies.
Experience supporting applications in highly regulated environments with stringent privacy, cybersecurity, accessibility, or public-sector compliance requirements.
Company Overview – CMC APAC
CMC APAC Pte. Ltd.
, a member of
CMC Global
under
CMC Corporation,
is a Singapore-based regional hub delivering ICT and digital transformation solutions across the Asia-Pacific region.
As the Asia-Pacific arm of CMC Global, CMC APAC extends the Group’s technological expertise into one of the world’s most dynamic digital markets. Building on a strong foundation as a leading digital transformation (DX) provider in Vietnam, we serve as a strategic hub for delivering AI, Data, Cloud, and next-generation technology solutions across the region.
About CMC Global
CMC Global is a leading technology and AI transformation services provider, serving over 300 global clients across industries such as:
Banking & Financial Services
Healthcare
Manufacturing
Automotive
The company delivers end-to-end solutions in AI, Data, Cloud, and Digital Transformation, supporting enterprises in solving complex business challenges at scale.
Founded in 2017, CMC Global builds upon the long-standing legacy of CMC Corporation (established in 1993), one of Vietnam’s leading technology groups, with a vision to bring Vietnamese ICT solutions to the global market.
Global Presence & Capabilities
With an international network spanning Asia-Pacific, Europe, and North America, CMC Global provides:
24/7 global delivery capability
Strong engineering talent pool
Scalable and cost-effective delivery models
At CMC APAC, we combine global delivery excellence with local market expertise to support enterprises in achieving:
Operational efficiency
Business growth
Sustainable, long-term value
Learn More
CMC APAC: https://cmc-apac.sg/
CMC Global: *************
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