Contract Type:

Permanent

Location:

Singapore, Singapore

Date Published:

21-Jul-2026

Salary:

About the Opportunity Our client, a technology consultancy specialising in cloud, data, and AI-driven solutions for enterprise customers, is expanding its engineering team. This role sits at the intersection of traditional full stack development and applied AI - building products that incorporate agentic workflows and LLM-powered capabilities, engineered to production standards of reliability and scale. The successful candidate will contribute across the full software lifecycle, from system design and implementation through to operational ownership of AI-powered services in production. Key Responsibilities Software Engineering

Develop and maintain full stack applications using Python, JavaScript/TypeScript, and Go
Design scalable system architecture, including service boundaries, caching, queuing, and failure handling
Design efficient database schemas and queries
Define and document API contracts (REST, gRPC, or GraphQL) for internal and external consumers
Containerise and deploy services using Docker and Kubernetes

Applied AI & Agentic Systems

Design and implement agentic AI workflows, including multi-step task execution, tool use, memory, and multi-agent orchestration
Integrate large language models, third-party AI APIs, and internal data sources into production systems

AI Operations

Build and maintain operational pipelines for LLM-based systems, covering deployment, monitoring, evaluation, prompt and model versioning, and cost tracking
Own the reliability and performance of production systems, including monitoring, alerting, and incident response

Collaboration & Governance

Work closely with product, research, and engineering stakeholders across the SDLC
Participate in code reviews, architecture discussions, and technical planning
Contribute to technical documentation and runbooks to support long-term maintainability

Candidate Requirements

2-6 years of professional experience building full stack applications, backend services, and production-grade software systems
Strong working proficiency in Python and JavaScript/TypeScript
Working knowledge of Go, or demonstrated ability to acquire it quickly
Practical experience with infrastructure-as-code tools such as Terraform (Ansible advantageous)
Experience with cloud and/or on-premise infrastructure
Proficiency with Docker; working knowledge of Kubernetes advantageous
Demonstrated experience building or operating AI-powered systems, agentic workflows, or LLM-based applications
Familiarity with agent orchestration principles - multi-step reasoning, tool use, memory, multi-agent design
Working knowledge of MLOps/AIOps practices, including model or prompt versioning, evaluation pipelines, and observability
Solid understanding of system design fundamentals, including scalability, reliability, and distributed systems trade-offs
Strong communication skills and a demonstrated sense of technical ownership

Advantageous

Direct experience with LLM providers such as OpenAI, Anthropic, or Azure OpenAI, or with open-source models
Experience with RAG, embeddings, or vector databases
Understanding of security principles applicable to both traditional and AI systems
Prior experience within a startup or applied AI product environment

What the Role Offers

The opportunity to build production-grade products combining software engineering with applied AI
Exposure to agentic AI systems and LLM-powered infrastructure at scale
A flat, low-bureaucracy team structure that supports rapid execution
Close collaboration with product, research, and engineering functions from concept through to deployment
Structured learning and development support, including courses and conferences
Competitive remuneration and benefits

ST Reg No. R1768414 BeathChapman Pte Ltd Licence no. 16S8112

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