About the role

AI summarised

Senior AI Engineer role at a technology company, focusing on developing and deploying machine learning models and agentic AI systems in production. The role requires expertise in AI/ML, microservices, MLOps, and cloud platforms, with responsibilities including building autonomous AI agents and implementing advanced AI patterns.

BusinessFull-timeGeneral

Key Responsibilities

Responsibilities were not listed in the extracted data for this post.

Requirements

AI/ML Expertise – 5+ years of experience developing and deploying machine learning models in production environments
Agentic AI – Experience building autonomous AI agents with capabilities including tool use, reasoning, planning, and multi-step task execution
Programming Languages – Advanced proficiency in at least Python and Java. Experience with Deep learning frameworks (TensorFlow, PyTorch), data processing (pandas, NumPy), ML libraries (scikit-learn), etc. Experience with Spring Boot, microservices frameworks, and concurrent programming.
Microservices Architecture – 5+ years of hands-on experience designing and implementing microservices-based systems
ML Operations – Experience with MLOps practices, model versioning, monitoring, and deployment strategies
Cloud Platforms – Proficiency with AWS, GCP, or Azure ML services and infrastructure
Strong understanding of distributed systems, message queues (Kafka, etc.), and event-driven architectures
Experience with containerization (Docker) and orchestration (Kubernetes)
Knowledge of database systems (SQL and NoSQL) and data engineering concepts
Familiarity with API design principles and RESTful services
Experience with version control (Git) and collaborative development workflows
Bachelor's or master's degree in Computer Science, Engineering, Mathematics, or a related field (or equivalent experience).
Proven track record of delivering complex AI projects from conception to production
Strong problem-solving abilities and analytical thinking
Excellent communication skills with the ability to explain complex technical concepts to diverse audiences
Experience working in agile development environments
PhD in Machine Learning, Artificial Intelligence, or related field
Experience with agentic AI frameworks (LangChain, AutoGen, etc.) and agent orchestration patterns