- Singapore
D L Resources Pte Ltd Hiring! Full Time Senior GenAI Application Engineer - Bank Sector Client in , Earn up to SGD 11,000 - Ricebowl
Senior GenAI Application Engineer - Bank Sector Client
D L Resources Pte Ltd
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Job Description
Responsibilities
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:
Build and improve GenAI applications using frameworks such as
LangGraph, LangChain or similar orchestration tools
.
Work with
open weight models
, hosted LLMs and model serving patterns.
Develop agentic workflows, retrieval augmented generation, tool calling and prompt orchestration.
Integrate GenAI applications with enterprise systems, APIs, data sources and operational platforms.
Engineer solutions for production quality, including logging, tracing, evaluation, fallback behaviour and troubleshooting.
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
Strong hands on experience building
production grade GenAI applications
.
Practical experience with
LangGraph, LangChain, agentic workflows, RAG and tool calling
.
Understanding of open weight models and how to integrate them into real applications.
Ability to challenge weak designs and propose better ones.
Strong engineering discipline around reliability, testing, observability and maintainability.
Ability to work across application, data, platform, security and infrastructure teams.
Enthusiastic, energetic and willing to get into the details.
Pragmatic approach to delivery, not over engineering, not hype driven.
Requirements:
Below are the key skillsets required for the role:
10 or more years of software engineering experience
, preferably with recent hands on experience in GenAI application development.
Proven experience building
production grade GenAI applications
, not only prototypes, experiments or demos.
Strong hands on experience with
LangGraph, LangChain or similar orchestration frameworks
.
Practical understanding of
RAG, agentic workflows, tool calling, prompt orchestration and context management
.
Experience integrating LLMs into real applications using APIs, backend services and enterprise data sources.
Experience with
open weight models
or strong interest backed by hands on experimentation.
Strong backend engineering skills using
Python, Java or similar languages
.
Good understanding of API design, distributed systems and production resilience patterns.
Experience with observability, logging, tracing and troubleshooting for GenAI or backend applications.
Familiarity with containerised deployment environments such as
Kubernetes or OpenShift
.
Ability to write clean, maintainable and testable code.
Strong analytical, debugging and troubleshooting skills.
High ownership, high curiosity and genuine interest in building useful AI products.
Ability to work in a fast moving environment with incomplete information and evolving requirements.
Strong communication skills, with the ability to challenge weak designs and coordinate across business, application, data, infrastructure and security teams.
Nice to Have
Experience with
DeepAgent
or similar agent frameworks.
Experience with
Langfuse, Elastic
or similar observability and search tools.
Experience with
Redis
for caching, conversation state, rate limiting, queue backed workflows or low latency GenAI application patterns.
Experience with
vLLM
or similar inference serving frameworks for running open weight models.
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
About Us
: Build Your Career in Banking, Technology & Corporate Job Opportunities — Contract & Permanent Roles Available
D L Resources
provides technology managed services and outsourced staffing workforce solutions for financial services institutions, banks, multi-national corporations MNCs and technology firms. We also offer recruitment, head-hunting, direct placement, and temporary contract jobs across a wide range of roles—covering both technology and business functions.
EA License No: 24C2333
LinkedIn: *************
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:
Build and improve GenAI applications using frameworks such as
LangGraph, LangChain or similar orchestration tools
.
Work with
open weight models
, hosted LLMs and model serving patterns.
Develop agentic workflows, retrieval augmented generation, tool calling and prompt orchestration.
Integrate GenAI applications with enterprise systems, APIs, data sources and operational platforms.
Engineer solutions for production quality, including logging, tracing, evaluation, fallback behaviour and troubleshooting.
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
Strong hands on experience building
production grade GenAI applications
.
Practical experience with
LangGraph, LangChain, agentic workflows, RAG and tool calling
.
Understanding of open weight models and how to integrate them into real applications.
Ability to challenge weak designs and propose better ones.
Strong engineering discipline around reliability, testing, observability and maintainability.
Ability to work across application, data, platform, security and infrastructure teams.
Enthusiastic, energetic and willing to get into the details.
Pragmatic approach to delivery, not over engineering, not hype driven.
Requirements:
Below are the key skillsets required for the role:
10 or more years of software engineering experience
, preferably with recent hands on experience in GenAI application development.
Proven experience building
production grade GenAI applications
, not only prototypes, experiments or demos.
Strong hands on experience with
LangGraph, LangChain or similar orchestration frameworks
.
Practical understanding of
RAG, agentic workflows, tool calling, prompt orchestration and context management
.
Experience integrating LLMs into real applications using APIs, backend services and enterprise data sources.
Experience with
open weight models
or strong interest backed by hands on experimentation.
Strong backend engineering skills using
Python, Java or similar languages
.
Good understanding of API design, distributed systems and production resilience patterns.
Experience with observability, logging, tracing and troubleshooting for GenAI or backend applications.
Familiarity with containerised deployment environments such as
Kubernetes or OpenShift
.
Ability to write clean, maintainable and testable code.
Strong analytical, debugging and troubleshooting skills.
High ownership, high curiosity and genuine interest in building useful AI products.
Ability to work in a fast moving environment with incomplete information and evolving requirements.
Strong communication skills, with the ability to challenge weak designs and coordinate across business, application, data, infrastructure and security teams.
Nice to Have
Experience with
DeepAgent
or similar agent frameworks.
Experience with
Langfuse, Elastic
or similar observability and search tools.
Experience with
Redis
for caching, conversation state, rate limiting, queue backed workflows or low latency GenAI application patterns.
Experience with
vLLM
or similar inference serving frameworks for running open weight models.
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
About Us
: Build Your Career in Banking, Technology & Corporate Job Opportunities — Contract & Permanent Roles Available
D L Resources
provides technology managed services and outsourced staffing workforce solutions for financial services institutions, banks, multi-national corporations MNCs and technology firms. We also offer recruitment, head-hunting, direct placement, and temporary contract jobs across a wide range of roles—covering both technology and business functions.
EA License No: 24C2333
LinkedIn: *************
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