全职 Generative AI Engineer 工作, 薪水 up to SGD 12,000, UARROW PTE. LTD. East Region (Singapore) 公司招聘中 - Ricebowl

Job Summary

We are looking for an experienced

Generative AI Engineer / Technical Lead

to design and develop enterprise AI solutions, with a focus on

Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents and financial document intelligence

.

The role involves developing scalable AI applications and backend services, integrating LLM technologies with enterprise systems, and providing technical leadership for AI engineering initiatives.

Key Responsibilities

Design and develop

Generative AI and RAG-based applications

for enterprise and financial document use cases.

Develop

AI agents and agentic workflows

using LangChain, LangGraph or similar frameworks.

Build retrieval solutions using

embeddings, vector databases, semantic search, reranking and contextual retrieval

.

Develop AI-powered solutions for

financial document analysis, comparison, validation and information extraction

.

Integrate LLM platforms including

OpenAI, Claude, Llama and AWS Bedrock

.

Implement AI evaluation, observability and safety mechanisms to improve response accuracy and reduce hallucinations.

Develop scalable backend services and APIs using

Python, FastAPI and microservices architecture

.

Work with

PostgreSQL, MongoDB, Redis and vector databases

.

Deploy and manage applications using

AWS, Docker and Kubernetes

.

Develop CI/CD pipelines and follow software engineering practices including testing, code quality and version control.

Provide technical guidance and mentorship to engineering team members.

Collaborate with product and business teams to translate requirements into scalable AI solutions.

Requirements

Minimum

8 years of software engineering experience

, including relevant experience in Generative AI.

Strong hands-on experience in

Python

and backend development.

Experience developing

RAG, LLM and AI-agent based applications

.

Hands-on experience with

LangChain, LangGraph or equivalent frameworks

.

Strong understanding of

vector databases, embeddings and semantic search

.

Experience with

Weaviate, Pinecone, Qdrant or similar technologies

.

Experience with

OpenAI, Claude, Llama or AWS Bedrock

.

Experience with

FastAPI, REST APIs, microservices and scalable backend systems

.

Good knowledge of

SQL, PostgreSQL, MongoDB and Redis

.

Experience with

AWS, Docker, Kubernetes and CI/CD

.

Knowledge of

AI evaluation, prompt engineering, guardrails and security

.

Strong analytical, problem-solving and communication skills.

Preferred Experience

Experience in

financial services, investment management, insurance or financial document processing

.

Experience in

KYC/AML, compliance or financial document intelligence

.

Knowledge of

LangSmith, RAGAS, Arize Phoenix or similar AI evaluation tools

.

Experience with

AWS Textract or document extraction technologies

.