AI Engineer

Advanced proficiency in Python.

• Extensive experience with LLM frameworks (Hugging Face Transformers, LangChain) and prompt

engineering techniques

• Experience with big data processing using Spark for large-scale data analytics

• Version control and experiment tracking using Git and MLflow

• Software Engineering & Development: Advanced proficiency in Python, familiarity with Go or Rust,

expertise in microservices, test-driven development, and concurrency processing.

• DevOps & Infrastructure: Experience with Infrastructure as Code (Terraform, CloudFormation),

CI/CD pipelines (GitHub Actions, Jenkins), and container orchestration (Kubernetes) with Helm and

service mesh implementations.

• LLM Infrastructure & Deployment: Proficiency in LLM serving platforms such as vLLM and

FastAPI, model quantization techniques, and vector database management.

• MLOps & Deployment: Utilization of containerization strategies for ML workloads, experience with

model serving tools like TorchServe or TF Serving, and automated model retraining.

• Cloud & Infrastructure: Strong grasp of advanced cloud services (AWS, GCP, Azure) and network

security for ML systems.

• LLM Project Experience: Expertise in developing chatbots, recommendation systems, translation

services, and optimizing LLMs for performance and security.

• General Skills: Python, SQL, knowledge of machine learning frameworks (Hugging Face,

TensorFlow, PyTorch), and experience with cloud platforms like AWS or GCP.

• Experience in creating LLD for the provided architecture.

• Experience working in microservices based architecture.