AI/ML Architect / Lead AI Engineer
Core
Design and build scalable Generative AI, LLM, and Agentic AI products, from architecture and model development to deployment and optimization.
Role type
Senior AI/ML Architect and Lead AI Engineer
Builds
Scalable AI/ML and Generative AI products, LLM and Agentic AI applications, AI agents with multi-step reasoning and tool usage, end-to-end AI/ML pipelines, MLOps and model deployment pipelines
Domain
Artificial Intelligence, Machine Learning, Generative AI, Large Language Models, Agentic AI, Distributed Systems
Deliverable
production ML models
Required skills
Generative AI, LLMs, Agentic AI, Multi-step reasoning, Tool calling, Contextual memory, Machine Learning, Deep Learning, NLP, Computer Vision, Model training and fine-tuning, Feature engineering, Real-time inference, MLOps, Solution architecture, System design, Scalable distributed systems, Microservices, ETL pipelines, Data modeling, Big Data platforms, Python, Go, AWS, Azure, Django, Flask, Hadoop, Spark, Kafka, Docker, Kubernetes, CI/CD
Preferred skills
Experience in Finance, Healthcare, or Retail
Technologies
Python, Go, AWS, Azure, Django, Flask, Hadoop, Spark, Kafka, Kudu, HBase, Hive, MongoDB, RabbitMQ, Docker, Kubernetes
Responsibilities
Design and build scalable AI/ML and Generative AI products, Architect LLM and Agentic AI applications, Build AI agents with multi-step reasoning and tool usage, Develop end-to-end AI/ML pipelines, Work on model training, fine-tuning, feature engineering and real-time inference, Build and manage MLOps and model deployment pipelines, Lead and mentor cross-functional engineering teams, Evaluate and implement emerging AI technologies
Seniority
Senior, hands-on IC with leadership responsibilities
