AI Engineer

ENCORA TECHNOLOGIES PTE. LTD.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

ENCORA TECHNOLOGIES PTE. LTD. seeks a Senior GenAI Application Engineer to design, build and operate production-grade GenAI applications at scale.

You will work at the intersection of software engineering, GenAI development, enterprise integration and delivery, using LangGraph, LangChain and RAG with tool calling and orchestration. You will integrate open-weight models and hosted LLMs into real enterprise applications, implement reliable logging and observability, and collaborate with

Qualifications

• 6+ years of software engineering with GenAI application development experience.
• Production-grade GenAI applications, not prototypes or demos.
• Hands-on with LangGraph, LangChain or similar orchestration frameworks.
• Understanding of RAG, agentic workflows, tool calling, prompt orchestration, and context management.
• Experience integrating LLMs into real applications via APIs and enterprise data sources.
• Strong backend skills in Python/Java; solid API design and distributed systems knowledge.
• Familiar with containerized deployment (Kubernetes/OpenShift) and observability tooling.

Responsibilities

• Design, build and improve production-grade GenAI applications for enterprise users.
• Develop agentic workflows, retrieval augmented generation, and tool calling.
• Integrate GenAI apps with enterprise systems and data sources.
• Ensure reliability, observability, logging, tracing and troubleshooting in production.
• Collaborate across application, data, platform, security and infra teams.
• Deliver practical, maintainable code with strong engineering discipline.

Skills

GenAI application development

LangGraph

LangChain

Agentic workflows

RAG

Tool calling

Prompt orchestration

Python

Java

APIs

Distributed systems

Observability

Logging

Troubleshooting

Kubernetes

OpenShift

Redis

vLLM

Langfuse

Tools

Kubernetes

OpenShift

Redis

vLLM

Langfuse

Elastic

Job description

Responsibilities:

• We are looking for a Senior GenAI Application Engineer who operates effectively at the intersection of software engineering, GenAI applicationd evelopment, 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.
• 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:

• 6 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 Workflows
• Python, Java, APIs and Enterprise Integration