GenAI Engineer

Roles and Responsibilities: Design, develop, and deploy AI/ML and GenAI solutions across cloud, edge, and on-premises environments. Build LLM-powered applications, intelligent assistants, recommendations, and natural language interfaces. Integrate AI capabilities into existing products and platforms. Develop scalable AI inference and production deployment architectures. Apply AI to code generation, testing, code reviews, and CI/CD to improve engineering productivity. Establish AI engineering best practices, standards, and governance. Monitor and optimize model performance, reliability, and accuracy. Mentor engineers and evaluate emerging AI technologies and tools.

Required Skills: Bachelor’s degree in Computer Science, Software Engineering, Data Science, or a related field. 7+ years of software engineering experience. 5+ years of hands-on experience developing and deploying ML solutions. Strong Python skills and experience with PyTorch, Tensor Flow, or Scikit-learn. Hands-on experience building and integrating Generative AI and LLM solutions. Experience with AWS, Azure, or GCP. Strong understanding of software architecture, APIs, data pipelines, and production deployments. Excellent communication and collaboration skills.

Preferred Skills: Experience with RAG, vector databases, and prompt engineering. Experience with MLOps, model monitoring, and AI governance. Experience deploying AI solutions in edge/IoT environments. Exposure to IoT, industrial systems, automation, or smart building technologies. Experience working in Agile/Scrum environments.