AI Engineer (Middle)

Early Applicant

2-5 Years

Job Description

Position: AI Engineer

Location: Innotech Di An (Gn lng i hc)

KEY RESPONSIBILITIES

Fine-tune and optimize existing open-source LLMs (e.g., Code LLaMA, StarCoder) for code-related tasks (completion, explanation, refactoring, bug fixing).
Process and manage large-scale, multi-language code datasets (cleaning, deduplication, quality filtering) using distributed frameworks .
Implement Retrieval-Augmented Generation (RAG) pipelines with vector databases for code and technical document retrieval.
Optimize model inference performance (quantization, distillation, GPU acceleration) for low-latency serving.
Develop APIs/microservices to integrate AI features into IDE extensions (VS Code API, TypeScript).
Monitor and evaluate model performance using code-specific metrics .
Collaborate with Data Engineers, Product, and DevOps to ensure high-quality data, scalable deployment, and stable production performance.
Write clean, maintainable code, manage version control (Git), and document experiments and deployment processes.

KEY REQUIREMENTS (Qualification/Experience/Skills)

Mandatory

Bachelor&aposs degree in Computer Science, AI, Machine Learning, or related field.
25 years of experience in AI/ML, with at least 1 year working on LLM or NLP projects.
Proficient in Python and deep learning frameworks (TensorFlow or PyTorch).
Hands-on experience with Hugging Face Transformers and code-specific LLMs.
Familiarity with vector databases and RAG architectures.
Experience with Docker, GitLab CI/CD, and cloud ML services (AWS, GCP, or Azure).
Understanding of big data processing tools (Spark, Dask, Ray).
Good English communication skills and ability to work in cross-functional teams.

Nice to have

Experience with TypeScript and VS Code extension development.
Familiarity with AST parsing, syntax-aware embeddings, and static code analysis.
Knowledge of MLOps tools (MLflow, W&B, Kubeflow).
Contributions to open-source AI or coding assistant projects.

BENEFITS: