GenAI Engineer

GenAI Engineer About UptimeAI: UptimeAI provides AI reasoning agents that help industrial operations teams make goal-oriented, real-time decisions. Industrial facilities are rich in data but constrained by the expertise required to maintain and interpret it. As experienced engineers retire and operational complexity grows, organizations struggle to scale the expert judgment needed to maintain reliability, safety, and performance. UptimeAI addresses this challenge by embedding engineering reasoning directly into AI agents that continuously analyze operational data, diagnose issues, and guide teams toward the best actions. The result is faster decisions, reduced downtime, improved efficiency, and stronger operational performance. Job Title: GenAI Engineer Location: Bangalore (Manyata Tech Park), Hybrid Position Overview: We are seeking a highly motivated and skilled GenAI Engineer to join our team. The ideal candidate will have expertise in generative AI, large language models (LLMs), and MLOps, with a focus on building scalable, distributed systems for real-time generative applications. You will collaborate to develop and maintain platform software, generative AI models, and high-performance systems for cutting-edge use cases. Key Responsibilities: Design, develop, and deploy generative AI usecases using LLMs and pipelines into production environments. Build and manage MLOps platforms tailored for generative workflows, including fine-tuning, and monitoring of generative AI models. Create scalable, distributed systems to support real-time generative applications. Implement prompt engineering and retrieval-augmented generation (RAG) techniques to optimize model outputs. Develop cloud-native applications using frameworks like TensorFlow, PyTorch, LangChain, LangGraph and Hugging Face for generative tasks. Optimize low-latency, high-throughput systems for deploying GenAI models in production. Ensure ethical AI practices, including bias mitigation, model interpretability, and compliance with data privacy standards. Collaborate with cross-functional teams to integrate GenAI solutions into products and services. Qualifications: Bachelor’s/Master’s degree in Computer Science, AI, or related field. 1 -3+ years of experience in Data Science, generative AI, including LLMs, NLP, or multi-modal models. Proficiency in Python and experience with GenAI libraries (e.g., Transformers, PyTorch, LangChain, LangGraph). Strong understanding of distributed systems and scalable architectures for GenAI workloads. Familiarity with vector databases and retrieval systems for RAG pipelines. Experience with prompt engineering, fine-tuning, and model optimization (e.g., quantization, pruning). Knowledge of CI/CD pipelines for GenAI workflows and version control (e.g., Git, DVC). Understanding of ethical AI principles and tools for bias detection/monitoring. Strong problem-solving skills and ability to work in a fast-paced, collaborative environment. Preferred Skills: Exposure to multi-modal models (text, image). Experience deploying GenAI models on resource-constrained environment. Knowledge of AI safety and alignment techniques. Why to join UptimeAI: Impact Industry-Wide Change: Contribute to transformative solutions that significantly improve operational efficiency and reliability for global clients. Collaborative and Growth-Oriented Environment: Join a talented, passionate team that values innovation, continuous learning, and professional growth. Opportunities for Leadership and Innovation: Lead pioneering projects, influence product development, and shape the future of industrial AI solutions.