Generative AI Engineer

REGTECH INSIGHT PTE. LTD.; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

REGTECH INSIGHT PTE. LTD. is seeking an experienced Generative AI Engineer / Technical Lead to design and develop enterprise AI solutions with a focus on Generative AI, LLMs, RAG, AI agents and financial document intelligence.

You will build scalable AI applications and backend services, integrate LLM platforms, and provide technical leadership for AI engineering initiatives, guiding architecture and best practices across the team.

Qualifications

• 8+ years of software engineering experience, with Generative AI focus.
• Strong Python backend development experience.
• Hands-on with RAG, LLMs and AI-agent applications.
• Experience with LangChain and LangGraph frameworks.
• Familiarity with vector databases, embeddings and semantic search.

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.

Skills

Generative AI

LLMs

RAG

AI agents

financial docs

Python

FastAPI

microservices

LangChain

LangGraph

Vector DBs

embeddings

semantic search

PostgreSQL

MongoDB

Redis

AWS

Docker

Kubernetes

CI/CD

security

Tools

LangChain

LangGraph

Weaviate

Pinecone

Qdrant

OpenAI

Claude

Llama

AWS Bedrock

AWS Textract

Job description

Job Summary

We are looking for an experiencedGenerative AI Engineer / Technical Leadto design and develop enterprise AI solutions, with a focus onGenerative 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 developGenerative AI and RAG-based applicationsfor enterprise and financial document use cases.
• DevelopAI agents and agentic workflowsusing LangChain, LangGraph or similar frameworks.
• Build retrieval solutions usingembeddings, vector databases, semantic search, reranking and contextual retrieval.
• Develop AI-powered solutions forfinancial document analysis, comparison, validation and information extraction.
• Integrate LLM platforms includingOpenAI, 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 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 scalable AI solutions.

Requirements

• Minimum8 years of software engineering experience, including relevant experience in Generative AI.
• Strong hands-on experience inPythonand backend development.
• Experience developingRAG, LLM and AI-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, Llama or AWS Bedrock.
• Experience withFastAPI, REST APIs, microservices and scalable backend systems.
• Good knowledge ofSQL, PostgreSQL, MongoDB and Redis.
• Experience withAWS, Docker, Kubernetes and CI/CD.
• Knowledge ofAI evaluation, 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 similar AI evaluation tools.
• Experience withAWS Textract or document extraction technologies.