Unison Group

Builds financial risk and compliance systems

AI Engineer - GenAI / RAG / LangGraph / Python

AI Application EngineeringConfirmed live in the last 24 hours

Full-timeKuala Lumpur, Federal Territory of Kuala Lumpur, MalaysiaNo salary listedIn-person

About the Job

Requirements

Strong Python programming experience.
Hands-on experience with LangGraph.
Strong knowledge of Retrieval-Augmented Generation (RAG).
Experience with prompt engineering and prompt optimization.
Experience developing applications using generative AI technologies.
Knowledge of Elastic Knowledge or Elasticsearch for enterprise search and knowledge retrieval.
Experience with the LangChain ecosystem.
Experience integrating OpenAI, Azure OpenAI, Anthropic Claude, Gemini, or similar large language models.
Knowledge of vector databases such as Pinecone, Chroma, FAISS, Weaviate, or Milvus.
Experience building AI agents and multi-step workflows.
Strong understanding of REST APIs and microservices.
Familiarity with Git, Docker, and CI/CD pipelines.

Responsibilities

Design and develop enterprise generative AI applications using Python.
Build and optimize Retrieval-Augmented Generation (RAG) pipelines for knowledge retrieval.
Develop AI workflows and multi-agent systems using LangGraph.
Create effective prompts and prompt templates for various large language model use cases.
Integrate enterprise knowledge repositories using Elastic Knowledge or Elasticsearch-based knowledge systems.
Develop intelligent AI assistants, chatbots, and agentic AI solutions.
Connect large language models with enterprise APIs, databases, and document repositories.
Optimize retrieval quality, context management, and response accuracy.
Implement vector search and semantic search capabilities.
Evaluate, fine-tune, and monitor large language model performance.
Collaborate with business stakeholders to understand AI use cases and translate them into technical solutions.
Follow AI governance, security, and responsible AI best practices.

AI Engineer (GenAI / RAG / LangGraph / Python)

Unison Group · Kuala Lumpur, Malaysia · Contract · Posted 2026-07-20

Workplace: on_site

Department: Manish

Description

We are looking for a highly skilled AI Engineer with strong expertise in Generative AI, Prompt Engineering, Retrieval-Augmented Generation (RAG), LangGraph, Elastic Knowledge, and Python. The ideal candidate should have experience designing, developing, and deploying enterprise-grade AI applications powered by Large Language Models (LLMs) and modern AI frameworks.

The candidate should be capable of building intelligent AI agents, orchestrating complex workflows using LangGraph, integrating enterprise knowledge bases, and developing scalable GenAI solutions for business use cases.

Key Responsibilities

Design and develop enterprise Generative AI applications using Python.
Build and optimize Retrieval-Augmented Generation (RAG) pipelines for knowledge retrieval.
Develop AI workflows and multi-agent systems using LangGraph.
Create effective prompts and prompt templates for various LLM use cases.
Integrate enterprise knowledge repositories using Elastic Knowledge or Elasticsearch-based knowledge systems.
Develop intelligent AI assistants, chatbots, and agentic AI solutions.
Connect LLMs with enterprise APIs, databases, and document repositories.
Optimize retrieval quality, context management, and response accuracy.
Implement vector search and semantic search capabilities.
Evaluate, fine-tune, and monitor LLM performance.
Collaborate with business stakeholders to understand AI use cases and translate them into technical solutions.
Follow AI governance, security, and responsible AI best practices.

Required Skills

Strong Python programming experience.
Hands-on experience with LangGraph.
Strong knowledge of Retrieval-Augmented Generation (RAG).
Experience with Prompt Engineering and prompt optimization.
Experience developing applications using Generative AI technologies.
Knowledge of Elastic Knowledge / Elasticsearch for enterprise search and knowledge retrieval.
Experience with LangChain ecosystem.
Experience integrating OpenAI, Azure OpenAI, Anthropic Claude, Gemini, or similar LLMs.
Knowledge of vector databases such as Pinecone, Chroma, FAISS, Weaviate, or Milvus.
Experience building AI agents and multi-step workflows.
Strong understanding of REST APIs and microservices.
Familiarity with Git, Docker, and CI/CD pipelines.

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About the Company

Unison Group

Builds financial risk and compliance systems

Unison Group builds technology systems for financial institutions that need to manage risk, meet reporting rules and modernize their operations. Its consultants work across liquidity, market and credit risk, combining financial knowledge with software implementation and data analysis. The business also designs cloud infrastructure and develops custom applications, connecting these systems with the information and processes clients already use. It earns money through consulting, technology implementation and engineering services for enterprises, with work ranging from system design to deployment. Founded as Unison Consulting in 2012, the group is headquartered in Singapore.

Company size: 201-500
Company stage: Not listed
Total funding: Not listed
Headquarters: Not listed
Founded: 2012

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