AI Engineer
Core
Integrate Generative AI models and Large Language Models (LLMs) into web applications, combining full-stack development with advanced machine learning expertise.
Role type
Senior AI Engineer (Full-stack with GenAI focus)
Builds
Web-based applications with integrated GenAI capabilities, scalable microservices, and AI pipelines.
Domain
Logistics / Out-of-home delivery / Generative AI
Deliverable
production ML models | product features
Required skills
Python, Generative AI (GenAI) models, Large Language Models (LLMs), API development, Kubernetes, Docker, Google Cloud Platform (GCP) or Azure, Vector databases (Pinecone, Weaviate, Faiss), Hugging Face Transformers, LangChain, SQL/NoSQL, CI/CD pipelines
Preferred skills
Apache Kafka, AWS Lambda, TensorFlow, PyTorch, ONNX, Data privacy and security best practices
Technologies
Python, Kubernetes, Docker, GCP, Azure, Pinecone, Weaviate, Faiss, Hugging Face, LangChain, OpenAI, Redis, Git
Responsibilities
Integrate LLMs and GenAI models into web applications via API design; Develop robust back-end systems in Python for model deployment; Build and maintain data pipelines for preprocessing and post-processing; Manage vector databases for embeddings and similarity search; Optimize and fine-tune LLMs for application needs; Implement CI/CD pipelines for automated testing and deployment.
Seniority
Senior, hands-on IC