Generative AI Engineer

UARROW PTE. LTD.; Singapore; On-site; SGD 140,000 - 240,000; Full time

Job summary

UARROW PTE. LTD. seeks an experienced GenerativeAI Engineer/Technical Lead to design and develop enterprise AI solutions with a focus on GenerativeAI, LLMs, and RAG for financial documents.

You will lead AI engineering initiatives, build scalable backend services, and integrate LLM platforms like OpenAI and AWS Bedrock. You will mentor engineers, collaborate with product teams, and ensure robust AI safety, evaluation, and observability across systems.

Qualifications

• Minimum 8 years of software engineering experience, including GenerativeAI.

Responsibilities

• Design and develop GenerativeAI and RAG-based applications for enterprise and financial document use cases.

Skills

GenerativeAI

Python

Problem solving

Communication

Team leadership

Tools

LangChain

LangGraph

OpenAI

Claude

Llama

AWS Bedrock

FastAPI

Docker

Kubernetes

PostgreSQL

MongoDB

Redis

Weaviate

Pinecone

Qdrant

Job description

Job Summary

We are looking for an experiencedGenerativeAIEngineer / Technical Leadto design and develop enterpriseAIsolutions, with a focus onGenerativeAI, Large Language Models (LLMs),Retrieval-AugmentedGeneration(RAG),AIagents and financial document intelligence.

The role involves developing scalableAIapplications and backend services, integratingLLMtechnologies with enterprise systems, and providing technical leadership forAIengineering initiatives.

Key Responsibilities

• Design and developGenerativeAIand RAG-based applicationsfor enterprise and financial document use cases.
• DevelopAIagents and agentic workflowsusing LangChain, LangGraph or similar frameworks.
• Build retrieval solutions usingembeddings, vector databases, semantic search, reranking and contextual retrieval.
• DevelopAI-powered solutions forfinancial document analysis, comparison, validation and information extraction.
• IntegrateLLMplatforms includingOpenAI, Claude,Llamaand AWS Bedrock.
• ImplementAIevaluation, observability and safety mechanisms to improve response accuracy and reduce hallucinations.
• Develop scalable backend services and APIs usingPython, FastAPI and microservices architecture.
• Work withPostgreSQL,MongoDB, Redis and vector databases.
• Deploy and manage applications usingAWS, 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 scalableAIsolutions.

Requirements

• Minimum8 years of software engineering experience, including relevant experience inGenerativeAI.
• Strong hands‑on experience inPythonand backend development.
• Experience developingRAG,LLMandAI-agent based applications.
• Hands‑on experience withLangChain, LangGraph or equivalent frameworks.
• Strong understanding ofvector databases, embeddings and semantic search.
• Experience withWeaviate, Pinecone, Qdrant or similar technologies.
• Experience withOpenAI, Claude,Llamaor AWS Bedrock.
• Experience withFastAPI, REST APIs, microservices and scalable backend systems.
• Good knowledge ofSQL, PostgreSQL,MongoDBand Redis.
• Experience withAWS, Docker, Kubernetes and CI/CD.
• Knowledge ofAIevaluation, prompt engineering, guardrails and security.
• Strong analytical, problem‑solving and communication skills.

Preferred Experience

• Experience infinancial services, investment management, insurance or financial document processing.
• Experience inKYC/AML, compliance or financial document intelligence.
• Knowledge ofLangSmith, RAGAS, Arize Phoenix or similarAIevaluation tools.
• Experience withAWS Textract or document extraction technologies.