Generative AI Engineer

Riskdata Consulting; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

Riskdata Consulting is seeking an experienced Generative AI Engineer / Technical Lead in Singapore to design and build enterprise AI solutions at scale. You will lead backend development, integrate LLMs with enterprise systems and guide AI engineering initiatives.

The role emphasizes building AI-powered workflows, evaluating models, and ensuring security and reliability across production pipelines in a fast-paced financial services context.

Qualifications

• Minimum 8 years of software engineering experience.
• 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.

Responsibilities

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

Skills

Python

Backend development

Generative AI

LLMs

AI governance

Problem solving

Communication

Tools

LangChain

LangGraph

Weaviate

Pinecone

Qdrant

OpenAI

Claude

AWS Bedrock

FastAPI

REST APIs

Docker

Kubernetes

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.