AI Engineering / Consultant / Senior Specialist (Based in Singapore)

ABEAM CONSULTING (SINGAPORE) PTE. LTD.; Singapore; Presencial; SGD 120.000 - 180.000; Jornada completa

Descripción de la vacante

ABeam Consulting (Singapore) PTE. LTD. is seeking an AI Engineering Senior Consultant to lead and shape enterprise AI initiatives across industries.

You will design, develop, and deploy scalable AI solutions using LLMs, RAG, and agent frameworks, collaborating with Sales, tech teams, and clients to validate feasibility and value. Responsibilities include translating business needs into AI architectures, building robust backend services with Python/FastAPI, integrating with enterprise data

Formación

• 5+ years hands-on presales, design, solutioning or implementation in Software Development, AI Engineering, Generative AI, or Agentic AI.
• Proven experience designing and implementing solutions with LLMs.
• Strong understanding of RAG architecture and embedding/search strategies.
• Hands-on with LangChain/LangGraph or equivalent agent orchestration frameworks.
• Experience designing multi-agent workflows and tool-calling architectures.

Responsabilidades

• Discover and promote AI use cases into projects with Sales.
• Translate business needs into AI solution designs and architectures.
• Design, develop, test, and deploy enterprise-grade AI apps and agents.
• Develop AI solutions using LLMs, RAG, and agent frameworks.
• Ensure security, governance, observability, and monitoring for production AI apps.

Conocimientos

Python programming

LLMs

LangChain

LangGraph

RAG

APIs

Azure OpenAI

Cloud platforms

Analytical skills

Herramientas

LangChain

LangGraph

FastAPI

API integration

Descripción del empleo

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.

AI Engineering Senior Consultant

Location: Singapore

Key Responsibilities

• Work with Sales to discover, identify, assess, prioritize, promote and drive realization of potential customer AI and Agentic AI use cases into actual projects.
• Understand business processes, pain points, data availability, and system constraints, and translate them into appropriate AI solution designs.
• Design, develop, test, and deploy enterprise-grade AI applications and AI agents.
• Develop AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) and all relevant agentic AI frameworks.
• Design and implement single-agent and multi-agent workflows, including agent communication, task delegation, decision logic, memory, and tool orchestration.
• Develop orchestration workflows using technologies such as LangChain, LangGraph, MCP, and similar agent frameworks.
• Integrate AI agents with enterprise applications, databases, APIs, document repositories, and external tools.
• Design and develop robust backend services and APIs using Python and frameworks such as FastAPI.
• Design and implement RAG pipelines covering document ingestion, chunking, embedding, retrieval, hybrid search, reranking, prompt construction, and response generation.
• Build reusable AI components, agent tools, APIs, connectors, and services to accelerate future AI implementations.
• Develop demos, POCs and proposals rapidly and work with Sales and customers to validate business feasibility, technical feasibility, and expected value.
• Industrialize successful POCs into scalable and maintainable production solutions.
• Implement appropriate security, access control, guardrails, governance, observability, and monitoring for enterprise AI applications.
• Define evaluation frameworks and success metrics to assess AI agent performance, including response quality, accuracy, reliability, latency, token consumption, and business outcomes.
• Establish feedback loops and continuously improve AI agent performance based on evaluation results and user feedback.
• Troubleshoot and optimize AI applications, including prompts, retrieval quality, agent workflows, model selection, and system performance.
• Collaborate with infrastructure, security, application, data, and architecture teams to support successful enterprise deployment.
• Communicate AI concepts, solution architecture, limitations, risks, and recommendations clearly to both technical and non-technical stakeholders to drive deal closure, positive decision, etc.
• Prepare solution documentation, architecture designs, implementation plans, technical specifications, test scenarios, and operational documentation.
• Provide knowledge transfer and technical guidance to client teams to support sustainable adoption of AI solutions.

Key Requirements

• 5 or more years of relevant hands-on presales, design, solutioning and implementation experience in Software Development, AI Engineering, Generative AI, or Agentic AI development.
• Practical experience designing and implementing solutions using LLMs.
• Strong understanding of RAG architecture, including retrieval strategies, embeddings, vector search, hybrid search, reranking, and prompt engineering.
• Hands-on experience with LangChain, LangGraph, or equivalent agent orchestration frameworks.
• Experience designing multi-agent workflows and tool-calling/orchestration architectures.
• Strong programming skills in Python.
• Strong experience developing APIs, backend services, and integrations with enterprise applications.
• Experience developing AI solutions from POC through production deployment.
• Experience integrating AI solutions with structured and unstructured enterprise data sources.
• Understanding of AI application architecture, security, governance, access controls, guardrails, observability, and monitoring.
• Experience defining LLM/agent evaluation methodologies and performance metrics.
• Familiarity with cloud platforms and managed AI services, preferably Azure / Azure OpenAI.
• Experience and knowledge in Microsoft Copilot and Copilot Studio are mandatory; experience with Microsoft Foundry and Google Antigravity and Google Vertex AI are good to have.
• Strong analytical and problem-solving capabilities.
• Ability to work independently and deliver solutions in a fast-paced environment.
• Strong communication, stakeholder management, and consulting skills.
• Ability to work directly with business users to convert business requirements into practical AI solutions.

Preferred / Added Advantage

• Experience with MCP (Model Context Protocol) and agent tool integration.
• Experience with self-hosted or open-source LLM deployment.
• Experience with L