Generative AI / Agentic AI Engineer / Python

Avensys is a reputed global IT professional services company headquartered in Singapore. Our service spectrum includes enterprise solution consulting, business intelligence, business process automation and managed services. Given our decade of success, we have evolved to become one of the top trusted providers in Singapore and service a client base across banking and financial services, insurance, information technology, healthcare, retail and supply chain

Job Description

We are looking for a highly skilled

Generative AI / Agentic AI Engineer

to design, develop, integrate, and deploy production-grade AI applications and intelligent agent-based solutions. The ideal candidate should have strong experience in

Python, LangChain, LangGraph, RAG, Agentic Workflows, Prompt Engineering, MCP, Azure AI services, Microsoft Teams Bot Development, and REST API integration .

The candidate will be responsible for building scalable AI solutions that leverage Large Language Models (LLMs), Retrieval-Augmented Generation, vector databases, AI agents, workflow orchestration, and enterprise integrations.

Experience:

5+ years overall, with strong hands-on experience in Python, GenAI, LLMs, and AI Agent development.

Key Responsibilities

Design and develop

Generative AI and Agentic AI applications

using Python and modern LLM frameworks.

Build intelligent AI agents and multi-agent workflows using

LangChain and LangGraph .

Develop

agentic workflows

for task automation, reasoning, decision-making, tool calling, and enterprise process orchestration.

Implement

RAG (Retrieval-Augmented Generation)

pipelines for enterprise knowledge retrieval and contextual responses.

Work with

Azure AI Search and vector databases

to design scalable semantic and vector search solutions.

Develop and optimize

prompt engineering strategies , including structured prompts, system prompts, few-shot prompting, and prompt templates.

Implement

MCP (Model Context Protocol)

integrations to connect AI agents with enterprise tools, APIs, data sources, and external services.

Develop

Microsoft Teams Bots

and conversational AI solutions integrated with enterprise applications.

Design interactive

Adaptive Cards

for Microsoft Teams and other conversational interfaces.

Integrate AI solutions with enterprise applications using

REST APIs and third-party APIs .

Develop workflow orchestration mechanisms for complex AI-agent tasks and business processes.

Build reusable tools, functions, APIs, and services that can be consumed by AI agents.

Deploy AI solutions into

production Azure environments , ensuring scalability, reliability, security, and performance.

Monitor and troubleshoot production AI applications, APIs, agents, and workflows.

Work closely with product owners, architects, developers, and business stakeholders to translate business requirements into AI solutions.

Evaluate LLM performance, response quality, latency, cost, and reliability.

Implement appropriate security, authentication, authorization, logging, monitoring, and responsible AI practices.

Continuously evaluate emerging

GenAI, Agentic AI, LLM, and AI orchestration technologies

and recommend improvements.

Required Technical Skills

Programming

TypeScript

Node.js

REST API development and integration

Generative AI / LLM

Prompt Engineering

LLM integration and orchestration

Structured outputs

Agentic AI

LangChain

LangGraph

Agentic Workflows

Tool-based agents

Workflow orchestration

RAG & Search

Retrieval-Augmented Generation (RAG)

Embeddings

Semantic search

Hybrid search

Chunking and document-processing strategies

Microsoft Teams Bot Development

Adaptive Cards

Microsoft Bot Framework / conversational AI

Azure deployment and integration

Good to Have

Experience with

Azure Functions, Azure App Service, Azure Container Apps, or AKS

Docker and containerized AI applications

CI/CD and DevOps practices

Experience with authentication such as OAuth 2.0 / Microsoft Entra ID

Experience integrating enterprise systems and databases

Experience with observability, logging, monitoring, and AI application evaluation

Understanding of LLM security, hallucination mitigation, and responsible AI

Experience working with Agile/Scrum teams

Production-ready

AI Agents and Agentic Workflows

LangChain/LangGraph-based AI applications

MCP-based tool and system integrations

Microsoft Teams conversational AI/Bots

Adaptive Card-based interactive experiences

Azure AI Search and vector-search solutions

REST API and enterprise application integrations

Scalable and secure production AI deployments

WHAT’S ON OFFER

You will be remunerated with an excellent base salary and entitled to attractive company benefits. Additionally, you will get the opportunity to enjoy a fun and collaborative work environment, alongside a strong career progression.

#J-18808-Ljbffr