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

Open nowPosted 10 days ago

Senior GenAI Application Engineer - Bank Sector Client

MyCareersFuture94,028 open roles

Pay
SGD 8,000 – SGD 11,000 a month
Where
Singapore
Get the CV for this job

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

Your applicationOpen nowSenior GenAI Application Engineer - Bank Sector ClientMyCareersFuture · 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.

7.7% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 1.6%1 day
  2. 3.3%3 days
  3. 7.7%7 days
  4. 14.0%14 days
  5. 33.7%30 days
This job: posted 10 days ago

The posting

Responsibilities:

We are looking for a Senior GenAI Application Engineer who operates effectively at the intersection of software engineering, GenAI application development, enterprise integration and production delivery.

This is not a pure research role. It is not a prompt engineering only role. The successful candidate will help design, build and improve production grade GenAI applications that are reliable, observable, maintainable and useful to real enterprise users.

The successful candidate will:

  1. Build and improve GenAI applications using frameworks such as LangGraph, LangChain or similar orchestration tools.
  2. Work with open weight models, hosted LLMs and model serving patterns.
  3. Develop agentic workflows, retrieval augmented generation, tool calling and prompt orchestration.
  4. Integrate GenAI applications with enterprise systems, APIs, data sources and operational platforms.
  5. Engineer solutions for production quality, including logging, tracing, evaluation, fallback behaviour and troubleshooting.
  6. Bring a strong can do attitude, enthusiasm, curiosity and practical delivery mindset.

Finance or banking experience is not required. What matters more is hands on experience building real GenAI applications, strong engineering judgement and the ability to deliver in a complex enterprise environment.

What Matters Most

  1. Strong hands on experience building production grade GenAI applications.
  2. Practical experience with LangGraph, LangChain, agentic workflows, RAG and tool calling.
  3. Understanding of open weight models and how to integrate them into real applications.
  4. Ability to challenge weak designs and propose better ones.
  5. Strong engineering discipline around reliability, testing, observability and maintainability.
  6. Ability to work across application, data, platform, security and infrastructure teams.
  7. Enthusiastic, energetic and willing to get into the details.
  8. Pragmatic approach to delivery, not over engineering, not hype driven.

Requirements:

Below are the key skillsets required for the role:

  1. 10 or more years of software engineering experience, preferably with recent hands on experience in GenAI application development.
  2. Proven experience building production grade GenAI applications, not only prototypes, experiments or demos.
  3. Strong hands on experience with LangGraph, LangChain or similar orchestration frameworks.
  4. Practical understanding of RAG, agentic workflows, tool calling, prompt orchestration and context management.
  5. Experience integrating LLMs into real applications using APIs, backend services and enterprise data sources.
  6. Experience with open weight models or strong interest backed by hands on experimentation.
  7. Strong backend engineering skills using Python, Java or similar languages.
  8. Good understanding of API design, distributed systems and production resilience patterns.
  9. Experience with observability, logging, tracing and troubleshooting for GenAI or backend applications.
  10. Familiarity with containerised deployment environments such as Kubernetes or OpenShift.
  11. Ability to write clean, maintainable and testable code.
  12. Strong analytical, debugging and troubleshooting skills.
  13. High ownership, high curiosity and genuine interest in building useful AI products.
  14. Ability to work in a fast moving environment with incomplete information and evolving requirements.
  15. Strong communication skills, with the ability to challenge weak designs and coordinate across business, application, data, infrastructure and security teams.

Nice to Have

  1. Experience with DeepAgent or similar agent frameworks.
  2. Experience with Langfuse, Elastic or similar observability and search tools.
  3. Experience with Redis for caching, conversation state, rate limiting, queue backed workflows or low latency GenAI application patterns.
  4. Experience with vLLM or similar inference serving frameworks for running open weight models.
  5. Experience deploying GenAI workloads on cloud or container platforms.

Key Domain/ Technical Skills:

  • Production GenAI Application Engineering
  • LangGraph, LangChain, RAG and Agentic Workflow
  • Python, Java, APIs and Enterprise Integration
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.