Senior Generative AI Engineer & Tech Lead

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

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.