AI Engineer

Who you are

• Strong proficiency in Python and experience developing production-ready AI/ML applications and services
• Solid experience with Machine Learning, including model development, evaluation, optimization, and implementation
• Hands-on experience building applications using Generative AI and Large Language Models (LLMs)
• Experience with Deep Learning concepts, neural networks, and modern model architectures
• Practical experience with PyTorch and/or TensorFlow
• Experience with Natural Language Processing (NLP), including areas such as text processing, embeddings, semantic search, classification, or generation
• Hands-on experience designing and implementing Retrieval-Augmented Generation (RAG) pipelines and working with vector-based retrieval
• Experience integrating AI/ML APIs, foundation models, and third-party AI services into applications
• Understanding of MLOps and model deployment, including versioning, monitoring, CI/CD, and production ML workflows
• Experience with data engineering concepts, including data preparation, transformation, pipelines, and storage for AI/ML workloads
• Strong software engineering fundamentals with a focus on maintainability, scalability, testing, and code quality
• Ability to collaborate effectively with engineers, data teams, product teams, and other stakeholders in a distributed environment
• Experience with LLM fine-tuning, prompt engineering, and model evaluation
• Experience with vector databases, embeddings, and semantic retrieval systems
• Exposure to AI agents, tool/function calling, or multi-agent architectures
• Experience with cloud-based AI/ML platforms, containerization, and orchestration technologies
• Experience implementing AI observability, guardrails, responsible AI, or model governance
• Experience optimizing AI applications for performance, latency, scalability, and cost

What the job involves

• We are looking for an AI Engineer to join our engineering team and design, build, and deploy intelligent solutions using modern Machine Learning, Deep Learning, and Generative AI technologies
• You’ll work across the AI/ML lifecycle, from experimentation and model development to integration and production deployment, collaborating with engineering, product, and data teams to turn complex business challenges into scalable AI-powered solutions