AI Application Consultant/Engineer

ABeam Consulting; Singapore; On-site; SGD 100,000 - 180,000; Full time

Job summary

ABeam Consulting is seeking a hands-on AI/ML engineer to design, develop, and deploy Generative AI-powered applications. You will build end-to-end AI solutions, including frontend and backend components, APIs, and integrations with enterprise systems.

You will collaborate with clients to translate business needs into AI-driven solutions, architect secure, scalable cloud-native architectures, and stay ahead with emerging AI technologies.

Qualifications

• Bachelor’s degree in Computer Science, IT, Engineering, Data Science, or related field.
• 3+ years hands-on software development or AI/ML engineering experience.
• Experience with Generative AI, LLMs, and cloud-native app development.
• Proficiency in Python and JavaScript/TypeScript.
• Familiarity with React, FastAPI or Flask.

Responsibilities

• Design, develop, and deploy AI-powered applications leveraging Generative AI and LLMs.
• Build end-to-end enterprise AI solutions including frontend, backend, APIs, and integrations.
• Architect secure, scalable cloud-native AI solutions with IAM controls.
• Research and apply emerging AI technologies and best practices.
• Collaborate with clients to translate requirements into AI-driven solutions.

Skills

Python

JavaScript/TypeScript

React

FastAPI/Flask

LLM technologies

Cloud platforms (Azure/AWS/GCP)

CI/CD & DevOps

AI agent frameworks

LangChain

Vector databases

Multi-agent orchestration

Communication skills

Education

Bachelor’s degree in Computer Science, Information Technology, Engineering, Data Science, or related field

Tools

Azure OpenAI Services

LangChain

Semantic Kernel

Vector Databases

AI Search

Docker

Kubernetes

Job description

About Us

ABeam Consulting is a global professional services company that specializes in delivering business transformation and technology solutions to clients across a wide range of industries. With a global presence and over 9000 employees worldwide we aim to be the transformation partner of choice for all of our clients.

Responsibilities

Generative AI & Agentic AI Solution Development

• Design, develop, and deploy AI-powered applications leveraging Generative AI technologies and Large Language Models (LLMs).
• Develop end-to-end enterprise AI solutions, including frontend applications, backend services, APIs, and integrations with business systems.
• Design and implement agentic AI solutions using Microsoft Copilot Studio and other AI agent frameworks, including multi-agent orchestration, API integrations, and enterprise data connectivity.
• Architect secure, scalable, and cloud-native AI solutions with appropriate networking, identity, and access management controls.
• Research, evaluate, and apply emerging technologies and best practices in Generative AI, Agentic AI, and enterprise AI.

Consulting

• Collaborate with clients and stakeholders to translate business requirements into AI-driven solutions.
• Identify and define AI use cases, solution architectures, and implementation roadmaps aligned to business objectives.
• Facilitate workshops, discovery sessions, and client discussions on AI adoption, use case development, and solution design.
• Provide technical advisory and support throughout the solution lifecycle.

Pre-Sales Support

• Develop demonstration environments, prototypes, and solution showcases to support client engagements and business development activities.
• Build rapid proof-of-concepts (PoCs) to validate AI use cases, technical feasibility, and solution architectures.
• Support proposal development and client presentations by showcasing AI capabilities, solution value, and implementation approaches.

Requirements

• Bachelor’s degree in Computer Science, Information Technology, Engineering, Data Science, or a related field.
• Minimum 3 years of hands‑on experience in software development, AI/ML engineering, or a related technology role.
• Generative AI, Agentic AI, Large Language Models (LLMs), and cloud‑native application development.
• Proficiency in Python and JavaScript/TypeScript.
• Experience with modern web frameworks and technologies, including React, FastAPI, and/or Flask.
• Strong understanding of LLM technologies, Retrieval‑Augmented Generation (RAG), embeddings, vector search, and prompt engineering.
• Hands‑on experience with AI agent frameworks and intelligent automation solutions.
• Experience working with cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform (GCP).
• Familiarity with Azure OpenAI Services, Vector Databases, and AI Search technologies.
• Experience with LangChain, Semantic Kernel, and multi‑agent orchestration frameworks.
• Knowledge of enterprise‑scale AI platform design and development.
• Familiarity with CI/CD pipelines, containerization technologies, and DevOps practices.
• Strong analytical thinking and problem‑solving capabilities.
• Ability to translate business requirements into scalable technical solutions.
• Excellent communication and stakeholder management skills, with the ability to engage both technical and non‑technical audiences.
• Demonstrated curiosity, adaptability, and commitment to continuous learning in emerging AI technologies.
• Prior experience in financial services, trading organizations, or supply chain‑related industries is an advantage.

Why Join Us

At ABeam Consulting, we place a strong emphasis on collaboration, and helping our employees grow and develop their skills, offering a supportive and empowering work environment. With a presence in multiple countries and a diverse range of clients, ABeam Consulting offers an exciting and dynamic workplace for individuals looking to build a career in consulting. ABeam Consulting has also recently joined SAP’s regional strategic partner initiative as their first regional partner in the region and has also been recognized by UiPath as a Diamond Partner in providing RPA solutions. With such accolades, we aim to continue driving enterprise and digital transformation initiatives in order to transform the way people work and communicate in the digital age. In addition, our industry team is working tirelessly in order to bring more solutions to the banking and finance sector.