Senior AI Engineer

2 weeks ago

Kuala Lumpur, Kuala Lumpur, Malaysia Trust Gate Group Full time 120,000 - 200,000 per year

Job Description:

We're looking for an experienced
Senior AI Engineer

with strong experience in
LLM prompt engineering

and chatbot optimization to power intelligent user interactions, automated customer support, and personalized AI-driven experiences across the digital entertainment industry.

Key Responsibilities:

-
Prompt Engineering:

Design, test, and refine effective prompts for generative AI systems (e.g., ChatGPT, Claude, Gemini) to power chatbots, dynamic game content, player assistance tools, and marketing personalization.

-
Contextual Optimization:

Build structured prompt templates that maintain tone, compliance, and brand alignment while adapting to various user scenarios—customer service, VIP support, onboarding, etc..

-
Knowledge Embedding:

Fine-tune prompts to integrate internal knowledge bases, game rules, regulatory policies, FAQs, and historical player behavior for more accurate and helpful AI outputs.

-
Data-Driven Tuning:

Analyze AI output quality, hallucination rates, latency, and relevance to iteratively improve prompt structure and effectiveness.

-
Multi-Modal Coordination:

Work with product teams to design prompts for multimodal use cases (text, voice, in-game prompts, live dealer support).

-
Compliance Alignment:

Ensure all prompt output adheres to responsible gaming guidelines, legal jurisdictions, and ethical communication standards.

-
Testing & Versioning:

Run A/B tests and experiments across multiple prompt variants to determine performance and optimize outcomes.

-
Cross-Functional Collaboration:

Work with game designers, customer support leads, and content creators to align AI communication with product and player experience goals.

Required Skills & Qualifications:

-

2+ years experience with
LLM prompt engineering, NLP model tuning

, or AI content development

-

Deep understanding of generative
AI models (GPT, Claude, PaLM, etc.)

and prompt design principles

-

Strong command of language, tone, and structured prompt techniques (
zero-shot, few-shot, chain-of-thought,

etc.)

-

Ability to interpret AI output and optimize prompts based on relevance, clarity, and factual accuracy

-

Experience with tools like
LangChain, PromptLayer

, or custom LLM orchestration platforms

  • -

Basic scripting or
API integration skills (Python preferred)

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