AI Engineer

Hong Kong Unison Limited; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Unison Consulting in Singapore seeks an experienced AI engineer to design, build, and deploy agentic AI solutions across manufacturing domains. You will work with domain PhDs to translate complex processes into practical workflows, integrate tools and APIs, and ensure production readiness with security and governance.

Familiarity with LangGraph, LangChain, Semantic Kernel, and multi-agent systems is highly valued, along with strong Python programming.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field.
• Strong Python programming skills with production-grade AI experience.
• Hands-on experience building and deploying agentic AI systems in real-world environments.
• Experience with agent frameworks such as LangGraph, LangChain, Semantic Kernel, or equivalents.
• Experience developing multi-agent workflows, tool-calling agents, autonomous/semiautonomous workflows, and RAG-based agents.

Responsibilities

• Design, build, and deploy AI agents and end-to-end agentic AI solutions across multiple domains.
• Collaborate with domain PhDs to translate complex processes into practical AI workflows.
• Translate domain knowledge into structured workflows, agent architectures, tools, models, and production-ready systems.
• Integrate agents with enterprise systems, APIs, databases, and tools for real-world task execution.
• Deploy, monitor, troubleshoot, and optimize agentic AI solutions with governance and security.

Skills

Python

Agentic AI

LangGraph

LangChain

Semantic Kernel

Multi-agent systems

Tool integration

API calls

Education

Bachelor’s degree in Computer Science, Engineering, or a related field

Tools

LangGraph

LangChain

Semantic Kernel

REST APIs

Job description

• Design, build, and deploy AI agents and end-to-end agentic AI solutions that solve complex problems across multiple technical and manufacturing domains.
• Work directly with domain PhDs and subject-matter experts to understand, document, and translate complex scientific and manufacturing processes into practical AI workflows.
• Translate domain expertise and process knowledge into structured workflows, agent architectures, tools, models, and production-ready agentic systems.
• Develop agentic AI solutions using frameworks such as LangGraph, LangChain, Semantic Kernel, or other agent orchestration frameworks.
• Build multi-agent workflows, RAG pipelines, tool-calling agents, memory-enabled agents, and autonomous/semiautonomous workflows grounded in real-world domain knowledge.
• Integrate agents with enterprise systems, APIs, databases, and specialized tools to enable real-world task execution and decision-making.
• Deploy, monitor, troubleshoot, and continuously optimize agentic AI solutions in production, with appropriate security, governance, reliability, and scalability.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• Strong programming skills in Python with hands‑on experience developing production‑grade AI applications.
• Proven hands‑on experience building and deploying Agentic AI systems in real‑world production environments.
• Strong experience with agent frameworks such as LangGraph, LangChain, Semantic Kernel, or equivalent frameworks, with a deep understanding of agent orchestration and workflow design.
• Direct experience developing multi‑agent systems, tool‑calling agents, autonomous/semiautonomous workflows, RAG‑based agents, agent memory, and agent‑to‑agent interactions.
• Experience designing and implementing real‑world agent workflows involving tool integration, API calls, decision‑making, planning, state management, human‑in‑the‑loop processes, and workflow orchestration.
• Experience building LLM‑based applications and integrating LLMs with enterprise data, APIs, databases, and external tools.
• Ability to work closely with technical domain experts and translate specialized scientific/process knowledge into effective agentic systems.
• Strong analytical, problem‑solving, and process‑mapping skills, with the ability to understand and work across unfamiliar technical domains.
• Experience deploying, monitoring, evaluating, and optimizing production agentic AI systems, including observability, reliability, security, governance, and MLOps practices.

Unlock job insights

Hirer responsiveness Salary match Number of applicants

Unison Consulting established in the year 2012 in Singapore. We provide technology consulting, systems implementation, and integrations service to Asia Pacific customers. We help transform enterprise data in actionable insights. Our consultants have wide range of functional expertise within Banking and Financial services spectrum, working closely with clients to anticipate, illuminate and overcome complex business challenges.

Our objective is to be a one‑stop solution provider all enterprise business intelligence and data warehousing needs of organizations.

Our mission is to consistently deliver our services to our clients in a cost‑effective way without compromising the quality.

Our current clients include - DBS, OCBC, Standard Chartered Bank and Maybank.

Unison Consulting established in the year 2012 in Singapore. We provide technology consulting, systems implementation, and integrations service to Asia Pacific customers. We help transform enterprise data in actionable insights. Our consultants have wide range of functional expertise within Banking and Financial services spectrum, working closely with clients to anticipate, illuminate and overcome complex business challenges.

Our objective is to be a one‑stop solution provider all enterprise business intelligence and data warehousing needs of organizations.

Our mission is to consistently deliver our services to our clients in a cost‑effective way without compromising the quality.

Our current clients include - DBS, OCBC, Standard Chartered Bank and Maybank.

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