Data & AI Executive > 3YOE, Offer 30- 50M

We are looking for a Data & AI Executive who is collaborative, well-organized, creative, and ready to seize new opportunities.

The successful candidate will combine strong software engineering skills with a deep passion for modern Data and AI technologies.

This role offers the opportunity to work with cutting-edge multi-agent orchestration frameworks such as LangGraph, AutoGen, CrewAI, and Google Agent Developer Kit (ADK), while harnessing the scalability of Google Cloud Platform (GCP) services like BigQuery, Cloud Run, Kubernetes (GKE), and IAM.

• Design and build multi-agent conversational systems using LangGraph, AutoGen, CrewAI, ADK, or similar frameworks.
• Collaborate with product managers, designers, and engineers to define user journeys, agent capabilities, and integration points.
• Develop robust, scalable backend services and APIs (Python/Golang/Node.js/Java) to power AI agents and orchestration workflows.
• Apply advanced NLP, Retrieval-Augmented Generation (RAG), and LLM fine-tuning techniques for intent recognition, entity extraction, and dynamic dialogue management.
• Deploy and operate conversational workloads on GCP Cloud Run (serverless) and Kubernetes (GKE), following DevOps best practices and secure access controls with IAM.
• Leverage BigQuery for large-scale analytics to train, evaluate, and optimize ML models and conversational metrics.
• Design and develop interactive dashboards with Power BI or Tableau to visualize conversational KPIs, model performance, and business insights.
• Integrate conversational agents with enterprise systems (databases, CRMs, ERPs) and third-party APIs.
• Implement observability, evaluation, and monitoring for agent performance (latency, accuracy, hallucination rate) using tools such as Arize Phoenix, Langfuse, and LangSmith.
• Contribute to the full software development lifecycle: requirements, architecture, coding, testing, CI/CD, deployment, and maintenance.
• Troubleshoot and resolve production issues to ensure high availability and optimal performance.
• Document technical designs, decisions, and model specifications for cross-functional reference.

• Bachelors or Masters degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or a related field.
• Proficiency in at least one backend language/framework:
• Python (FastAPI, Flask, Django)
• Java (Spring Boot)
• Node.js (Express, NestJS)
• Go (Gin, Fiber)
• Experience building RESTful or GraphQL APIs and designing microservices.
• Solid understanding of machine learning fundamentals: supervised/unsupervised learning, evaluation metrics, feature engineering.
• Familiarity with modern NLP libraries: spaCy, Haystack, Hugging Face Transformers, LlamaIndex.
• Strong version-control habits (Git, trunk-based development) and CI/CD pipelines.
• Excellent problem-solving, communication, and collaboration skills.
• Passion for continuous learning and adapting to emerging AI technologies.

• Hands-on experience building and deploying production-grade AI chat agents or virtual assistants.
• Working knowledge of LangGraph, AutoGen, CrewAI, ADK, or similar agent-orchestration/workflow frameworks.
• Experience with Large Language Models (Gemini, GPT-4, Claude, Mistral, etc.) and vector databases (Weaviate, Chroma, Pinecone).
• Deep expertise with GCP:
• BigQuery for analytical workloads and feature stores.
• Cloud Run (serverless) for scalable, cost-efficient microservices.
• Google Kubernetes Engine (GKE) for container orchestration.
• Identity and Access Management (IAM) for secure, least-privilege access control.
• Business intelligence experience building dashboards and reports with Power BI or Tableau.
• Familiarity with other cloud providers (AWS, Azure) and their AI/ML services.
• Understanding of MLOps (model registry, continuous training, drift monitoring) and LLM observability tools such as Arize Phoenix, Langfuse, and LangSmith.
• Database skills in both SQL (PostgreSQL, BigQuery) and NoSQL (Firestore, DynamoDB).
• Contributions to open-source AI/ML projects or technical blogging/presentations are a plus.

Working time: 8.30 am 5.30 pm from Monday to Friday.

OPPORTUNITIES AND CHALLENGES:

Dynamic Environment: Work in a professional, modern, and fast-paced environment where you can tackle challenging projects both locally and globally.

Empowerment & Growth: We foster a culture of open dialogue and empowerment, allowing you to innovate and create in your own way. Your talent and achievements will be recognized and rewarded annually. We also offer support for professional development and relevant certifications.

Cutting-Edge Projects: You&aposll be at the forefront of the industry, working on large-scale, hot-trend projects with the latest technologies.

ATTRACTIVE REWARDING POLICY AND WORK-LIFE BALANCE:

Performance Review: Annual salary review based on performance.

Bonuses: 13th-month salary and holiday bonuses as per company policy.

Annual company trip (5 million VND/person), monthly teambuilding allowance

Full social insurance coverage & Annual health check-ups at top hospitals.

Comprehensive support for employees and their families: birthday, marriage, childbirth, illness, etc.

All necessary work equipment and devices are provided.

Diverse sports and cultural activities, including clubs for football, cycling, badminton, etc.