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Senior AI Engineer
Job Description
Key Responsibilities
AI Development & Integration
- Develop and maintain LLM-based components, including prompt templates, embeddings, and vector search integrations.
- Contribute to agentic AI workflows that leverage tools, APIs, and plugins for intelligent automation.
- Collaborate with senior AI engineers to prototype, test, and deploy AI-powered features into production environments.
- Integrate and experiment with frameworks like LangChain, Semantic Kernel, or similar ecosystems.
- Monitor and optimize AI system performance, reliability, and safety across deployed models.
Collaboration & Innovation
- Work closely with data scientists, product managers, and platform teams to support cross-functional AI initiatives.
- Participate in research and experimentation to evaluate new LLM models, embeddings, and orchestration techniques.
- Contribute to Esko's ongoing efforts toward responsible and secure AI deployment.
More Info
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Key Skills
About Company
Our Vision To continuously advance water treatment, ensuring everyone has access to clean water, globally. Our Mission Our passionate team provides innovative physical water treatment solutions across municipal, industrial, and residential customers ensuring the worlds water quality objectives are met. Trojan Technologies product brands include TrojanUV, Aquafine, VIQUA, AQUAFIDES, and Aria Filtra. Trojan Technologies is an operating company of Veralto.
Skills:
data engineering , Devops, Machine Learning, MLops, Artificial Intelligence, Security Compliance, Api Development, Python Programming, Prompt Engineering, Data Pipeline Development, Risk Management
Skills:
Docker, FastAPI, Python, Kubernetes, AWS, EKS
Skills:
Machine Learning, Git, Docker, Pyspark, Python, Sql, DataFrame APIs
Skills:
Tensorflow, Numpy, Pytorch, Docker, XGBoost, Python, Pandas, MLops, Azure Machine Learning, scikit-learn, vector databases, Azure AI Foundry, LangGraph, Azure AI Search, Application Insights, LangChain, experiment tracking, RAG architecture, LLMOps, Azure OpenAI Service, LightGBM, embedding models, Semantic Kernel, CI/CD pipelines, Azure AI Content Safety, Azure App Service Functions
Skills:
software engineering practices , Apis, MLops, Microservices, Python, DataOps, LLMOps, architecture patterns, prompt engineering, cloud-native development, AI development frameworks, agentic AI architectures, knowledge and context graphs, semantic models, modern AI methodologies, cloud environments