AI Engineer

Job Description:

Responsibilities:

• Develop, fine tune, and evaluate machine learning and LLM based models.
• Build end to end AI pipelines including data preprocessing, feature engineering, training, and monitoring.
• Design and optimize prompting strategies, RAG pipelines, or agent based workflows for LLM applications.
• Implement production ready AI services and APIs using scalable architectures.
• Collaborate with product managers and engineers to identify AI use cases and translate requirements into technical solutions.
• Monitor model performance and drift, implementing continual improvements.
• Conduct research into emerging AI techniques and tools to recommend adoption where appropriate.
• Ensure responsible AI practices including fairness, safety, privacy, and compliance.

Required Qualifications:

• Bachelor’s or Master’s in Computer Science, Machine Learning, Engineering, or a related field.
• Experience with machine learning frameworks such as PyTorch, TensorFlow, or JAX.
• Strong software engineering skills in Python, plus experience with APIs, cloud services (Azure, AWS, or GCP), and containerization.
• Hands on experience building applications using LLMs (e.g., OpenAI, Azure OpenAI, Hugging Face, Anthropic).
• Familiarity with vector databases (e.g., FAISS, Milvus, Pinecone) and retrieval augmented generation (RAG).
• Experience deploying AI models to production environments.
• Strong understanding of data structures, algorithms, and system design.