Agentic AI Engineer - Remote

Oxydata Software Sdn Bhd; Selangor; Remote; MYR 77,000 - 102,000; Full time

Job summary

Oxydata Software Sdn Bhd seeks an experienced Agentic AI Engineer to design and implement autonomous, multi-agent AI workflows that automate complex business processes for enterprise clients.

The role is remote with permanent employment and requires 1–4 years hands-on AI/ML engineering experience, including LangGraph/CrewAI integration, GPT Vision, and FastAPI exposure. Strong Python skills and API design are essential.

Qualifications

• Bachelor's degree in CS, SE, AI or related field.
• Indian citizenship; remote work from India.
• 1–4 years hands-on AI/ML engineering for agentic or LLM-based systems.
• Production experience with LangGraph and/or CrewAI for multi-agent orchestration.
• Experience integrating GPT Vision for multimodal workflows.
• Proficient in Python; ability to read JavaScript.
• Experience with LLM APIs, function calling, and structured outputs.
• Prompt engineering: system prompts, chain-of-thought, ReAct patterns.
• Understanding of embeddings, vector search, and retrieval grounding.
• Experience using FastAPI to expose agent capabilities as APIs.
• DevOps: Git, VPS/cloud deployment, Linux, and error handling for async workflows.
• Experience with LangChain or LlamaIndex for knowledge-base construction.

Responsibilities

• Design and implement multi-agent pipelines using LangGraph and/or CrewAI.
• Integrate GPT Vision or equivalent for document parsing and visual data extraction.
• Develop tool-calling agents with access to APIs, databases, and files.
• Manage agent memory for persistent agents and orchestrate workflows.
• Incorporate Retrieval-Augmented Generation (RAG) and vector search.
• Apply prompt engineering for agent personas and reasoning chains.
• Deploy agentic systems on self-hosted VPS or cloud infrastructure with observability.
• Expose capabilities via FastAPI endpoints for frontend and external systems.
• Collaborate to improve agentic workflows and automation solutions.

Skills

LangGraph

CrewAI

GPT Vision

Python

LLM APIs

Prompt Engineering

RAG

FastAPI

Git

Linux

LangChain

LlamaIndex

N8N

Docker

Education

Bachelor's degree in Computer Science, Software Engineering, AI or related field

Tools

LangGraph

CrewAI

Docker

FastAPI

LangChain

LlamaIndex

N8N

Git

Job description

Work Mode: Remote

Employment type: Permanent

Experience Level: 1–4 years

Work Eligibility: Indian citizenship (India); Full-time work authorization for remote employment from India

Oxydata Software Sdn Bhd established since 2012, helping regional enterprises drive digital transformation through Agentic AI Services, AI Automation & Integration, Data Engineering, AI Training, and IT Managed Services. We are a lean, high-impact team where engineers work directly on cutting-edge AI products serving enterprise clients across Malaysia and the region.

We are seeking an experienced Agentic AI Engineer to design and implement autonomous, multi-agent AI workflows that automate complex business processes for enterprise clients.

Agentic AI Engineer

Location: Petaling Jaya, Selangor, Malaysia

Work Mode: Remote

Employment type: Permanent

Experience Level: 1–4 years

Work Eligibility: Indian citizenship (India); Full-time work authorization for remote employment from India

Oxydata Software Sdn Bhd established since 2012, helping regional enterprises drive digital transformation through Agentic AI Services, AI Automation & Integration, Data Engineering, AI Training, and IT Managed Services. We are a lean, high-impact team where engineers work directly on cutting-edge AI products serving enterprise clients across Malaysia and the region.

We are seeking an experienced Agentic AI Engineer to design and implement autonomous, multi-agent AI workflows that automate complex business processes for enterprise clients.

Responsibilities

• Design and implement multi-agent pipelines using LangGraph and/or CrewAI, including agent role definition, task decomposition, inter-agent communication, and state management
• Integrate GPT Vision or equivalent for document parsing, screenshot analysis, and visual data extraction within multimodal AI workflows
• Implement tool-calling agents with access to APIs, databases, search, and file systems, and manage agent memory for persistent agents
• Integrate Retrieval-Augmented Generation (RAG) pipelines and utilise vector search technologies for agent knowledge grounding
• Apply prompt engineering techniques for agent personas, reasoning chains, and output formatting
• Deploy agentic systems on self-hosted VPS or cloud infrastructure, ensuring observability, logging, and robust failure handling for long-running workflows
• Expose agent capabilities via API endpoints using FastAPI for frontend and external system integration
• Collaborate with the team to continuously improve agentic workflows and automation solutions

Requirements

Must-have:

• Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field
• Indian citizenship (India)
• Full-time work authorization for remote employment from India
• 1–4 years of hands‑on production experience in AI/ML engineering for agentic or LLM-based systems
• Demonstrated production experience with LangGraph and/or CrewAI for multi-agent orchestration
• Experience integrating GPT Vision or equivalent for image/document understanding in multimodal AI workflows
• Proficiency in Python (primary language) and ability to read JavaScript code
• Experience with LLM APIs (OpenAI API, Claude API), function calling, tool use, and structured outputs
• Prompt engineering skills: system prompts, chain-of-thought, ReAct patterns, and output formatting
• Understanding of RAG fundamentals: embeddings, vector search, and retrieval grounding as agent tools
• Experience using FastAPI for exposing agent capabilities as APIs
• DevOps skills: Git, VPS/cloud deployment, basic Linux administration, and error handling for async workflows
• Experience with LangChain or LlamaIndex for knowledge-base construction

Nice-to-have:

• MCP (Model Context Protocol) server development experience
• Familiarity with AI-assisted development tools such as Cursor or GitHub Copilot
• Experience using Docker for containerised agent deployment
• CI/CD pipeline experience for agent workflow testing and deployment
• Basic React.js skills to build simple agent UIs or dashboards
• Experience with structured output validation using Pydantic or instructor library
• Develop and deploy automation workflows in N8N, integrating AI agents into broader business process automation pipelines

Why Join Us

• Be part of a pioneering team shaping the future of agentic AI and workflow automation for enterprise clients.
• Work with cutting‑edge technologies, collaborate with AI experts, and make a tangible impact on real-world business processes.
• Enjoy a remote-friendly, innovative environment that values continuous learning and technical excellence.