Kerja Kerja Dari Rumah AI Engineer, Gaji tinggi MYR 7,000 di Seedflex Federal Territory - Maukerja

About Seedflex Co-founded by ex-Grab leaders, Seedflex is a CreditTech platform bridging the gap between digital SME operations and accessible capital. Through our innovative Pay-As-You-Sell Advance product and strategic platform partnerships, we deliver frictionless, pre-qualified financing to merchants while ensuring risk-free revenue for partners.

The Role: AI Engineer Following the early success of our agentic AI initiatives, we are looking for a visionary AI Engineer to scale our intelligent decision and automation systems from the ground up. In this fast-paced, data-driven environment, you will re-engineer existing workflows into reliable, production-grade systems—leveraging high-intuition "vibe coding" and a deep alignment with our business goals to shape the future of financial services.

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.

If you are an engineer who is focused on building scalable, real-world AI systems, we would love to hear from you.

Pay: From RM7,000.00 per month

Ability to commute/relocate:

• Kuala Lumpur: Reliably commute or planning to relocate before starting work (Required)

Application Question(s):

• Github link, if any
• Status in Malaysia: Citizen/PR/Foreign National on EP/Independent work rights/Need Employer Sponsorship
• Notice period

Experience:

• Python: 1 year (Preferred)
• Langchain/Langgraph (Including RAG): 1 year (Preferred)
• Automation: 1 year (Preferred)
• APIs: 1 year (Preferred)
• AWS: 1 year (Preferred)
• AI Ops: 1 year (Preferred)
• Agile: 1 year (Preferred)
• Git: 1 year (Preferred)

Language:

• Bahasa (Required)

Location:

• Kuala Lumpur (Preferred)

Work Location: Hybrid remote in Kuala Lumpur (Kuala Lumpur)