Senior Gen AI Engineer
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 settingStrong 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 frameworksKnowledge of RAG pipelines (vector databases, embeddings, and semantic search) andagentic AI orchestration frameworks (LangChain, LlamaIndex, Haystack, etc.)
Excellent problem-solving, organizational, and leadership skills with proven ability todeliver 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 pipelinesSecurity for LLMs : Knowledge of data privacy, access controls, model security, and responsible AI practices in deploying GenAI and LLM solutions.