AI Engineer (Fully Remote)
**Company:** Trianz
**Position:** AI/ML Engineer
**Employment Type:** Full-Time
**Work Location: Remote**
Trianz is looking for a talented AI/ML Engineer to join our growing engineering team. You will design, develop, and deploy machine learning and generative AI solutions that solve real-world business challenges. This is an excellent opportunity to work with modern AI technologies, cloud platforms, and large-scale production systems.
* Design, build, and deploy machine learning models and AI-powered applications.
* Develop and optimize Generative AI solutions using Large Language Models (LLMs).
* Build RAG (Retrieval-Augmented Generation) pipelines and AI agents.
* Fine-tune and evaluate machine learning models.
* Work with structured and unstructured datasets for model training and inference.
* Collaborate with software engineers, data engineers, and product teams.
* Deploy AI workloads using cloud platforms such as AWS, _Azure_, or GCP.
* Monitor, improve, and maintain production AI systems.
* Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
* 4+ years of experience in Machine Learning or AI development.
* Strong programming skills in Python.
* Experience with TensorFlow, PyTorch, or Scikit-learn.
* Experience with LLMs such as GPT, Llama, Claude, or Gemini.
* Knowledge of LangChain, LangGraph, or similar AI frameworks.
* Experience with vector databases such as Pinecone, Weaviate, Milvus, or ChromaDB.
* Familiarity with REST APIs, Docker, Git, and CI/CD.
* Good understanding of cloud platforms (AWS, _Azure_, or GCP).
* Experience building production-grade AI applications.
* Knowledge of MLOps tools and model deployment.
* Experience with Kubernetes and containerized environments.
* Familiarity with prompt engineering and AI evaluation techniques.
**Monthly Salary:** **USD $2,500 – $4,000** (based on experience and qualifications)
* Work on cutting-edge AI and Generative AI projects.
* Collaborative and innovative engineering culture.
* Opportunities for professional growth and continuous learning.
* Flexible _remote_ work environment.
**Interested candidates are encouraged to apply with their updated resume.**
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