全职 AI Engineer 工作, 薪水 up to MYR 7,000, ZOM-IN Federal Territory 公司招聘中 - Ricebowl

What You'll Do (Key Responsibilities)

System Development: Architect, develop, and deploy scalable AI-powered applications and agentic systems using Python. You'll be expected to leverage your expertise to make smart, fast decisions that align with our product vision.

Production Engineering & MLOps: Transition successful AI pilots from proof-of-concept to production by re-engineering for high performance, reliability, and scalability, implementing MLOps best practices.

LLM Integration, Evaluation & Cost Management: Work with APIs from leading language models (OpenAI, Gemini, Claude). Systematically evaluate models to select the most effective solutions while actively managing API costs and performance.

Prompt & Context Engineering: Design, test, and refine complex prompts and context-management strategies to maximize the performance and reliability of LLM-powered features.

Security & Data Governance: Implement and oversee best practices for the secure and compliant handling of sensitive data within all AI systems and third-party API interactions.

Process Automation: Design and implement intelligent automation for business processes, with an eye towards leveraging modern platforms like n8n.

Collaboration: Work closely with our AI Task Force, product managers, and business stakeholders to identify and solve challenges using AI.

System Maintenance & LLM Observability: Establish and implement robust observability for AI systems, tracking metrics like token usage, latency, accuracy, and costs to ensure operational excellence.

What You Bring (Qualifications & Experience)

Professional Experience: Demonstrated experience as a Machine Learning Engineer, AI Engineer, or in a similar role with a focus on building and deploying AI applications.

Python Proficiency: Expert-level programming skills in Python and its common data science/AI libraries.

LLM Frameworks & Prompt Engineering: Hands-on experience with modern LLM application frameworks (e.g., LangChain, LangGraph) and a strong understanding of prompt engineering techniques.

API Integration: Experience integrating and utilizing APIs from major providers like OpenAI, Google (Gemini), and Anthropic (Claude).

Software Engineering Foundation: A strong understanding of software engineering principles for building scalable systems, including system design, APIs, and cloud infrastructure.

Problem-Solving Skills: The ability to translate business requirements into concrete technical solutions in a fast-paced environment.

Bonus Points (Nice to Haves)

Experience with workflow automation platforms like n8n, Zapier, or Make.

Familiarity with deploying applications on cloud platforms (e.g., GCP, AWS, Azure).

Knowledge of Model Context Protocol (MCP) or similar advanced context management techniques.

Experience with Retrieval-Augmented Generation (RAG) architectures.

Experience in the FinTech industry.

A portfolio of relevant AI projects (e.g., on GitHub).

What We Offer

An impactful role in a company that is currently scaling its operations.

The opportunity to work on practical AI implementations that directly affect business success.

A collaborative and focused environment with a dedicated AI Task Force.

Competitive salary and benefits package.

Pay: RM6,000.00 - RM7,000.00 per month

Benefits:

• Opportunities for promotion
• Professional development

Work Location: In person