Senior Gen AI Engineer

Senior Gen AI Engineer

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 were looking for

35 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.