Full-stack engineer (basic AI skills)

Develop AI adoption solution applications (frond-end & back-end).

Build REST APIs, integrate database, integrate AI/Gen AI features (LLM API, chatbot, search/RAG) ensure high performance & security.

Good prompting skills, good code review, fix bug, deployment & production troubleshooting issues skills.

Bachelor’s degree in Computer Science, Information Systems, Business, or related fields.

5+ years of experience as Fullstack engineer.

2+ years of experience as Fullstack engineer in related AI projects.

Experience in (Node.js / Java / Python + React / Angular / Vue) programming skills.

Solid understanding of REST APIs, databases (SQL/NoSQL), and Git.

Good native cloud knowledge (AWS/Azure) and CI/CD fundamentals.

Docker, Kubernetes, Microservices.

Basic AI/Gen AI knowledge:

RAG and vector databases (FAISS, Chroma, Pinecone, etc.) + Understand LLMs and embeddings at a high level.

Experience calling AI APIs and handling prompts, latency, and errors.

Awareness of AI risks (hallucination, data privacy) Nice to have:

Experiences building LLM systems (chat/Q&A/summarization), with RAG (chunking + retrieval + grounding), or using vector DBs (FAISS/Chroma/Pinecone/Azure AI Search).

Cloud/DevOps: Kubernetes, IaC (Terraform/Bicep), observability (logs/metrics/traces).

Security: OAuth2/OIDC, JWT, OWASP awareness, secrets management.

Domain/Platforms: IoT/Smart Factory/Suply Chain Management/Smart Home or mobile development experience.

Annual Leave

Training/Certification

Health Insurance

Career Path

Team-building events