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ABeam Consulting

Global management consulting with digital transformation

AI Application Consultant and Engineer - Generative AI & Agentic AI

AI Application Engineering +1Confirmed live in the last 24 hours
Full-timeSingaporeNo salary listedIn-person

About the Job

Requirements

  • A bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
  • At least 3 years of experience in AI Engineering, Generative AI, AI Agent Development, Full-Stack Development, Cloud Solutions, or related areas.
  • Hands-on experience designing and developing AI agents, large language model applications, and enterprise AI solutions.
  • Strong proficiency in Python, JavaScript or TypeScript, and modern frameworks such as React, Next.js, FastAPI, or Flask.
  • Experience with AI agent frameworks such as LangGraph, Semantic Kernel, AutoGen, OpenAI Agents SDK, or Copilot Studio.
  • Understanding of retrieval-augmented generation, prompt engineering, vector databases, enterprise integrations, APIs, and cloud platforms such as Azure, AWS, or Google Cloud Platform.
  • Experience with containerization, continuous integration and continuous delivery pipelines, and production deployment of cloud-based applications.
  • Ability to translate business requirements into technical solutions and solve analytical problems.
  • Ability to work in fast-paced environments, manage ambiguous requirements, and drive solutions from concept to production.
  • Good communication skills in both English and Japanese to communicate and collaborate with Japanese-speaking stakeholders and clients.

Responsibilities

  • Partner directly with clients and stakeholders to identify opportunities where AI agents can deliver measurable business value.
  • Translate business requirements into technical solutions, implementation plans, and rapid prototypes.
  • Lead end-to-end delivery from discovery and proof of concept through deployment, adoption, and continuous improvement.
  • Facilitate technical workshops and collaborate with engineering, security, data, and business teams.
  • Design, develop, and deploy enterprise-grade AI agents using frameworks such as LangGraph, Semantic Kernel, AutoGen, OpenAI Agents SDK, and Copilot Studio.
  • Build advanced agent workflows incorporating tool calling, planning, memory management, multi-agent orchestration, and human-in-the-loop processes.
  • Integrate AI agents with enterprise applications, APIs, databases, knowledge repositories, and business processes.
  • Implement retrieval-augmented generation architectures, prompt engineering, guardrails, observability, evaluations, and performance monitoring.
  • Optimize agent quality, reliability, scalability, safety, latency, and cost efficiency.
  • Develop modern AI-powered applications using React, Next.js, TypeScript or JavaScript, Python, FastAPI, and Flask.
  • Build backend services, APIs, and conversational interfaces with streaming responses, authentication, citations, and feedback mechanisms.
  • Apply software engineering best practices, including testing, code reviews, version control, API design, and reusable component development.
  • Design and implement secure, scalable cloud architectures across Azure, AWS, and Google Cloud.
  • Deploy and manage applications using containerization, continuous integration and continuous delivery pipelines, and cloud-native services.
  • Monitor production environments, troubleshoot issues, and enhance operational resilience.
  • Develop reusable frameworks and accelerators to support enterprise AI delivery.
  • Support AI and data consulting engagements by translating business challenges into technical solutions.
  • Collaborate with clients to define AI use cases, analytical approaches, and implementation strategies.
  • Conduct workshops and advisory sessions on AI adoption, data strategy, and solution architecture.
  • Communicate complex technical and analytical concepts to business and executive stakeholders.
  • Build demonstrations, prototype applications, and proof-of-concepts to support client engagements and proposals.
  • Validate AI use cases, machine learning models, and solution architectures through rapid prototyping.
  • Support client presentations, technical discussions, and solution positioning during the sales process.
  • Contribute technical expertise to proposal development and business growth initiatives.

Desired Qualifications

  • Experience in machine learning, data science, or advanced analytics.
  • Experience in consulting or pre-sales engagements.
  • Experience delivering enterprise-scale AI platforms.
  • Exposure to Financial Services, Trading, Supply Chain, or other enterprise environments.

About the Company

ABeam Consulting

Global management consulting with digital transformation

ABeam Consulting Singapore helps organizations improve performance through strategy, digital transformation, and operational execution by combining business insight with technology. It works by co-creating tailored solutions with clients, leveraging SAP/ERP implementations and digital tools, and guiding organizational change and process optimization. Differentiators include the synergy of a global ABeam network with deep Singapore/Asia-Pacific knowledge, a Real Partner approach focused on practical implementation and long-term partnerships, and emphasis on topics like AI, smart factories, and sustainability. Its goal is to deliver measurable improvements in growth, competitiveness, and operational excellence through guided transformation.

Company size
1,001-5,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Singapore, Singapore
Founded
1981

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