StatusNeo - Generative AI Engineer - LLM/Deep Learning

We are seeking a talented Generative AI Engineer with strong expertise in machine learning and agentic AI frameworks to design, develop, and deploy next-generation AI solutions. In this role, you will work on building intelligent systems that leverage LLMs, autonomous agents, and advanced ML models to solve complex business problems at scale.

Key Responsibilities :

- Design and implement LLM-based applications and agentic AI systems for diverse enterprise use cases.

- Build and fine-tune machine learning and deep learning models, integrating them into scalable AI-driven solutions.

- Leverage frameworks like LangChain, LlamaIndex, RAG pipelines, and vector databases for generative AI applications.

- Preprocess, analyze, and interpret large-scale structured and unstructured datasets.

- Deploy and scale models on cloud platforms (AWS, Azure, GCP) using Docker and Kubernetes.

- Collaborate with data scientists, ML engineers, and product teams to bring AI agents and ML models into production environments.

- Continuously optimize AI models and autonomous agents for accuracy, adaptability, and efficiency.

- Maintain model lifecycle: training, evaluation, monitoring, retraining, and governance.

- Stay ahead with the latest advancements in Generative AI, agent frameworks, and applied ML research.