Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted today

AI Engineering Consultant

MyCareersFuture97,045 open roles

Pay
SGD 6,000 – SGD 8,000 a month
Where
Singapore
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowAI Engineering ConsultantMyCareersFuture · Singapore

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on MyCareersFuture's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

8.1% of postings close within 7 days. Measured by our own scanner across the market. MyCareersFuture postings stay open a median of 3 days.

Share of postings closed within
  1. 1.7%1 day
  2. 3.6%3 days
  3. 8.1%7 days
  4. 15.1%14 days
  5. 34.0%30 days
This job: posted today

MyCareersFuture median: 3 days open

The posting

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.

Key Responsibilities

  • Work with business users and stakeholders to identify, assess, and prioritize potential AI and Agentic AI use cases.
  • 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 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.
  • 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 POCs rapidly and work with stakeholders 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.
  • 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

  • Strong hands-on experience in 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 LLM evaluation frameworks such as DeepEval or equivalent.
  • Experience with model fine-tuning, including SFT or other post-training techniques.
  • Experience working with enterprise document-processing, OCR, knowledge-management, or search solutions.
  • Familiarity with Azure, AWS, containerization, and enterprise deployment architectures.
  • Experience working in consulting, banking, financial services, or other highly regulated enterprise environments.

Other Requirements

  • Ability to work well within a multi-disciplinary team structure, but also independently.
  • Strong analytical and problem-solving skills across both rule-based and AI-driven scenarios.
  • Meet agreed deadlines, with demonstrable Productivity.
  • Strong interpersonal, verbal and written communication skills.
  • Ability to work in culturally diverse and inclusive environments.
  • Flexibility in scheduling with willingness to work extra non-standard hours if required.
  • Initiate, proactive and willingness to self-learn existing and new technology.
  • Willing and able to travel 50% or more (domestic, regional and international).

Education Requirements

  • Degree in in Computer Science or related discipline.
  • Written and spoken fluency in English with business proficiency in Mandarin and/or Bahasa mandatory.

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.

We regret only shortlisted candidates will be notified.

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against MyCareersFuture's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on MyCareersFuture's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    MyCareersFuture's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.