AI Solution Engineer

ROLE OVERVIEW

We are seeking a hands-on AI Solution Engineer to join Amaze's Data & AI team. You will design, build,

and deploy Gen AI and AI agent solutions that automate manual tasks, boost employee productivity, and

enhance customer experiences — working across the full lifecycle from prototype to production.

KEY RESPONSIBILITIES

• Build Gen AI applications and autonomous AI agents using LLMs (GPT-4, Claude, Gemini, LLaMA)

and agentic frameworks (LangChain, CrewAI, AutoGen)

• Implement RAG pipelines, vector databases, and prompt engineering strategies for accuracy and

reliability

• Develop internal AI assistants, intelligent search, and document AI to enhance employee workflows

• Create customer-facing AI solutions including chatbots, recommendation engines, and

personalization systems

• Integrate AI solutions with enterprise systems via APIs, microservices, and cloud AI services

• Apply GenAIOps best practices: CI/CD, monitoring, versioning, and evaluation frameworks

• Collaborate with business stakeholders to identify and deliver high-impact AI use cases

• Ensure responsible AI practices: safety guardrails, ethics, data privacy, and governance

REQUIRED QUALIFICATIONS

• Bachelor's/Master's in Computer Science, AI, Data Science, or related field

• 3+ years in AI/ML or software engineering; 1–2 years in Gen AI / LLM application development

• Hands-on with LLM APIs (OpenAI, Claude, Gemini) and open-source models (LLaMA, Mistral)

• Proficiency in agentic frameworks: LangChain, LlamaIndex, CrewAI, or AutoGen

• Experience with RAG systems and vector databases (Pinecone, Weaviate, ChromaDB, S3 Vector,

Google Vertex AI Vector)

• Strong Python skills; REST API development and system integration experience

• Cloud AI: AWS Bedrock / SageMaker, or Google Vertex AI / Gemini API

• Familiarity with Docker, CI/CD pipelines, and MLOps practices

PREFERRED QUALIFICATIONS

• AWS Bedrock Agents, Amazon Q, or Google Vertex AI Agent Builder experience

• Familiarity with MCP servers for agentic integrations

• Knowledge of data engineering tools (Spark, Kafka, Airflow, Snowflake)

• Strong communication in Thai and English; ability to present AI concepts to business leaders

** Understanding of AI ethics and data privacy frameworks in Thailand/SEA**

CORE COMPETENCIES

Technical

• Gen AI & LLM engineering

• AI agent orchestration

• System architecture

• Cloud & MLOps