Senior Gen AI Engineer

Senior Gen AI Engineer

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What youll 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.