AI Engineer

We are seeking an experienced AI / Generative-AI Engineer to build, deploy, and maintain scalable cloud-native AI applications and services. The ideal candidate will combine strong full-stack engineering skills with expertise in modern AI/ML methods, including large language models (LLMs), prompt engineering, and AI-driven automation.
• Key Responsibilities

• Design and develop end-to-end AI applications and services: from model integration to backend APIs and production deployment.
• Build and maintain ML/GenAI pipelines and infrastructure (data ingestion, preprocessing, model inference, result handling).
• Integrate AI/ML components (LLMs, embeddings, retrieval, RAG, vector stores) into scalable, secure cloud-based systems.
• Collaborate with cross-functional teams - product, data-science, DevOps - to gather requirements, implement AI-driven features, and deliver robust solutions.
• Write, test, and deploy production-grade code (backend and, optionally, frontend) that leverages AI capabilities.
• Maintain CI/CD pipelines, containerization, orchestration (e.g., with Docker, Kubernetes), and cloud infrastructure.
• Ensure security, data privacy, and compliance when handling sensitive data in AI workflows.
• Monitor and optimize performance, scalability, and reliability of AI services in production.
• Document system design, AI workflows, and best practices; mentor/guide junior engineers.

• Qualifications

• B.S. or higher in Computer Science, Software Engineering, or related technical field (or equivalent experience).
• 3+ years of professional software engineering experience building production-grade applications.
• Strong proficiency in Python; experience with AI/ML libraries/frameworks (e.g., PyTorch, TensorFlow, or similar).
• Demonstrated experience with Generative AI / Large Language Models (LLMs), including prompt engineering, embeddings, retrieval-augmented generation (RAG), or related workflows.
• Familiarity with cloud platforms (AWS, Azure, GCP) and cloud-native deployment practices.
• Experience with containerization (Docker), orchestration (Kubernetes), and infrastructure-as-code / DevOps workflows.
• Ability to design scalable backend services, APIs, and integrate with other systems/data stores.
• Strong problem-solving, communication skills, and ability to work collaboratively across teams.