Senior Gen AI Engineer

About the job

What you’ll do: Join our mission to turn industrial IoT data into real-time insights. • Design, train, and deploy ML / DL & Generative AI solutions across time series, text, and unstructured data. • Build and fine-tune LLMs using techniques like RAG, prompt engineering, and domain-specific adaptation. • Develop Agentic AI frameworks for autonomous decision-making and intelligent orchestration of IoT and enterprise workflows. • Implement advanced algorithms for forecasting, predictive maintenance, anomaly detection, and monitoring. • Drive AI strategy and leadership through research, integration into production systems, team mentorship, and innovation in pipelines and model deployment. What we’re looking for: • 3–5 years of experience in Data Science, ML, or AI in an industry setting. • Strong foundation in deep learning algorithms and architectures (CNN, LSTM, RNN, Transformers, Reinforcement Learning). • Hands-on experience with LLMs (OpenAI, HuggingFace, LLaMA, Mistral, etc.) and GenAI frameworks. • Knowledge of RAG pipelines (vector databases, embeddings, and semantic search) and agentic AI orchestration frameworks (LangChain, LlamaIndex, Haystack, etc.). • Excellent problem-solving, organizational, and leadership skills with proven ability to deliver production-grade AI solutions. You might have an edge over others if: • Cloud Platforms: Strong experience with AWS for AI / ML model development, deployment, and scaling. • Deployment & Orchestration: Expertise in Docker, Kubernetes, and related orchestration tools for production ML / LLM pipelines. • Security for LLMs: Knowledge of data privacy, access controls, model security, and responsible AI practices in deploying GenAI and LLM solutions.