AI Engineer

Role Overview

We are seeking a AI Engineer with a strong track record of building and shipping AI-powered products. You will lead the design and development of scalable AI/ML systems, mentor junior engineers, and work cross-functionally to drive the company's AI strategy.

What You Will Do

Architect and lead end-to-end development of AI/ML systems from research to production. Design and implement scalable data pipelines, model training, evaluation, and deployment workflows.

Why It Might Be a Fit

The ideal candidate brings deep expertise in LLMs, MLOps, and production-grade model deployment. You will collaborate with product managers, data scientists, and engineers to align AI solutions with business goals.

Requirements

• 4–7 years of hands-on experience in AI/ML engineering in a professional setting
• Bachelor's or Master's degree in Computer Science, AI/ML, Statistics, or a related discipline
• Deep expertise in Python and modern ML frameworks (PyTorch, TensorFlow, JAX)
• Proven experience with large language models: fine-tuning (LoRA, RLHF), RAG pipelines, and prompt engineering
• Strong background in NLP, computer vision, or multimodal AI systems
• Hands-on MLOps experience: model versioning (MLflow, DVC), containerization (Docker, Kubernetes), and cloud deployment (AWS SageMaker, GCP Vertex AI, or Azure ML)
• Ability to write production-quality code with a focus on scalability, observability, and reliability
• Experience collaborating in Agile/Scrum environments with cross-functional teams