全职 Software Engineer - 6 months contract 工作, 薪水 up to SGD 10,500, ESOL PTE. LTD. 公司招聘中 - Ricebowl

Job Summary

We are seeking a

skilled Python developer

to design, develop, and deploy

AI-powered Microsoft Teams Bot Applications

using the

Microsoft 365 Agent SDK.

The role involves integrating

Large Language Models (LLMs)

with

Azure AI Search

(and other vector databases) to implement

Retrieval-Augmented Generation (RAG)

solutions. The ideal candidate will have a strong background in

Python, Microsoft Bot Framework, Azure AI services, and modern AI/ML techniques

to create intelligent, scalable, and user-friendly bot experiences.

Key Responsibilities

1. M365 Agent SDK & Bot Development

Design, develop, and deploy

Microsoft Teams Bot Applications

using the

M365 Agent SDK

and

Python

.

Implement

conversational AI

workflows, including natural language understanding (NLU), dialog management, and multi-turn conversations.

Integrate bots with

Microsoft Teams, Outlook, and other M365 services

using Microsoft Graph API.

Optimize bot performance for

scalability, latency, and user experience

.

2. AI & LLM Integration

Develop and fine-tune

LLM-based solutions

(e.g., Azure OpenAI, Hugging Face, or custom models) for conversational AI.

Implement

prompt engineering

and

context management

to enhance bot responses.

Integrate

Azure AI Search

(or other vector databases like Pinecone, Weaviate, or Chroma) for

semantic search and RAG

.

Design and optimize

embedding pipelines

for document retrieval and knowledge base augmentation.

3. RAG & Vector Database Implementation

Build

Retrieval-Augmented Generation (RAG)

systems to ground LLM responses in enterprise data.

Index, chunk, and embed

unstructured data

(PDFs, documents, emails) for efficient retrieval.

Evaluate and compare

vector databases

(Azure AI Search, Pinecone, Weaviate, etc.) for performance, cost, and scalability.

Implement

hybrid search

(keyword + vector) for improved accuracy.

4. Cloud & DevOps

Deploy and manage

Azure resources

(App Services, Container Instances, etc.) for bot hosting.

Implement/modify

CI/CD pipelines

for automated testing and deployment.

Ensure

security best practices

(authentication, authorization, data encryption) for bot and AI services.

5. Collaboration & Documentation

Work closely with

cross-functional teams

(product managers, UX designers, data scientists) to refine bot capabilities.

Document

APIs, workflows, and system design

for internal knowledge sharing.

Provide

training and support

to end-users and stakeholders.