Senior AI Engineer
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Job Location:
Monthly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
We are seeking a highly skilled Senior Agentic AI Engineer to design develop and deploy production-grade agentic AI systems on Azure cloud infrastructure. The ideal candidate will have extensive experience building autonomous AI agents deploying complex AI solutions to production and implementing robust CI/CD pipelines.
Key Responsibilities
- Design and develop sophisticated agentic AI systems capable of autonomous decision-making and task execution
- Architect and implement production-grade AI solutions using Azure services (Azure Functions Azure OpenAI Azure Cognitive Services etc.)
- Build and maintain CI/CD pipelines using Azure DevOps and/or GitHub Actions for automated testing and deployment
- Develop scalable data processing workflows using Azure Databricks and Apache Spark
- Implement comprehensive testing strategies for AI applications including unit tests integration tests and performance testing
- Optimize AI agent performance reliability and cost-efficiency in production environments
- Design and implement monitoring logging and observability solutions for AI systems
- Mentor junior engineers and lead technical discussions on AI architecture and best practices
- Collaborate with cross-functional teams to integrate AI agents into existing systems
- Implement security best practices including managed identities Key Vault integration and RBAC
Required Skills & Qualifications
Technical Expertise:
- 3 to 8 years of experience in AI/ML engineering with at least 2 years focused on agentic AI or autonomous systems
- Expert-level proficiency in Python and advanced knowledge of SQL
- Deep understanding of Azure cloud services (Azure Functions Azure OpenAI Azure ML App Services Storage Key Vault)
- Extensive hands-on experience with Azure Databricks for large-scale data processing and ML workflows
- Proven track record of deploying and maintaining AI systems in production environments
- Strong experience building CI/CD pipelines using Azure DevOps and/or GitHub Actions
- Proficiency in containerization technologies (Docker Kubernetes/AKS)
AI/ML Knowledge:
- Strong foundation in Machine Learning Natural Language Processing and Deep Learning
- Experience with large language models (LLMs) and prompt engineering
- Knowledge of multi-agent systems
- Understanding of RAG (Retrieval-Augmented Generation) architectures
- Experience with ML frameworks (PyTorch TensorFlow Scikit-learn Transformers)
Problem-Solving & Quality:
- Exceptional analytical and problem-solving skills with ability to debug complex distributed systems
- Experience designing and implementing comprehensive test suites for AI applications
- Strong understanding of software engineering best practices (clean code design patterns SOLID principles)
- Experience with monitoring tools (Application Insights Log Analytics Grafana)
Preferred Qualifications
- Azure certifications (Azure AI Engineer Associate Azure Solutions Architect)
- Experience with microservices architecture
- Knowledge of MLOps practices and tools (MLflow Azure ML Pipelines)
- Experience with vector databases and semantic search
Required Experience:
Senior IC
Key Skills
About Company
Ecolab is the global leader in water, hygiene and energy technologies and services. Every day, we help make the world cleaner, safer and healthier – protecting people and vital resources.
