Job Openings
Agentic AI Engineer (IN)
About the job Agentic AI Engineer (IN)
Agentic AI Engineer
Location: Kuala Lumpur, Malaysia
Work Mode: Onsite
Employment type: Permanent
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 cutting-edge multi-agent AI systems.
Responsibilities
- Design and implement multi-agent orchestration pipelines using LangGraph and/or CrewAI.
- Define agent roles, decompose tasks, manage inter-agent communication, and oversee state management for complex workflows.
- Develop and deploy workflow automation solutions using N8N, including triggers, conditionals, API integrations, and data transformations.
- Integrate AI agents into broader business process automation pipelines, including human-in-the-loop checkpoints where required.
- Implement tool-calling agents with access to APIs, databases, search, and file systems.
- Integrate multimodal AI capabilities such as GPT Vision for document parsing and visual data extraction.
- Build and maintain retrieval-augmented generation (RAG) pipelines for knowledge retrieval and grounding.
- Deploy agentic systems on self-hosted VPS infrastructure, ensuring observability, logging, and robust error handling.
- Expose agent capabilities via API endpoints using FastAPI for integration with frontend and external systems.
- Utilize DevOps best practices for deployment, version control, and workflow reliability.
Requirements
Must-have:
- Bachelor's degree in Computer Science, Software Engineering, AI, or a related field
- Applicants must be Indian citizens residing in India
- 1–4 years of hands-on production experience in AI/ML engineering, specifically in agentic or LLM-based systems
- Demonstrated production experience with LangGraph and/or CrewAI for multi-agent orchestration
- Hands-on experience designing and deploying N8N workflow automation
- Experience integrating GPT Vision or equivalent multimodal AI for image and document understanding
- Proficiency in Python as the primary programming language, with the ability to read JavaScript code
- Experience with LLM APIs (OpenAI API, Claude API), including function calling, tool use, and structured outputs
- Prompt engineering skills, including 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 to expose agent capabilities as APIs
- DevOps skills: Git, VPS/cloud deployment, basic Linux administration, and error handling for asynchronous workflows
Nice-to-have:
- Experience with LangChain or LlamaIndex for knowledge-base construction
- MCP (Model Context Protocol) server development experience
- Experience with AI-assisted development tools such as Cursor or GitHub Copilot
- Docker for containerised agent deployment
- CI/CD pipelines for agent workflow testing and deployment
- Basic frontend ability with React.js to build simple agent UIs or dashboards
- Experience with structured output validation using Pydantic or instructor library
Why Join Us
- Be part of a team that delivers real client deployments, not just internal tools or proofs of concept.
- Work in an AI-first development culture where tools like Cursor and Claude are standard practice.
- Enjoy the benefits of a small, senior team with high ownership, direct impact, and minimal bureaucracy, along with competitive compensation aligned with your experience.
Apply Now: https://www.careers-page.com/oxy/job/W3469359