Senior AI Engineer
- Posted 2 days ago
- Be among the first 10 applicants
Job Description
Job Characteristics: Lead the development of scalable GenAI-powered systems, designing intelligent workflows that leverage large language models (LLMs), vector-based retrieval, and multi-agent orchestration frameworks. Drive solution architecture, mentor junior engineers, and deliver production-ready applications that integrate deeply with business processes and platforms.
Education/Work Experience: Degree and 5-8 years experience.
Independence Level/Reports to: Normally reports to AI Engineering Manager.
Our Commitment to a Culture of Inclusion & Belonging
Ecolab is committed to fair and equal treatment of associates and applicants and furthering the principles of Equal Opportunity to Employment. We will recruit, hire, promote, transfer and provide opportunities for advancement based on individual qualifications and job performance in all matters affecting employment, compensation, benefits, working conditions, and opportunities for advancement. Ecolab will not discriminate against any associate or applicant for employment because of race, religion, color, creed, national origin,citizenship status, sex, sexual orientation, gender identity and expressions, genetic information, marital status, age, or disability.
Education/Work Experience: Degree and 5-8 years experience.
Independence Level/Reports to: Normally reports to AI Engineering Manager.
Our Commitment to a Culture of Inclusion & Belonging
Ecolab is committed to fair and equal treatment of associates and applicants and furthering the principles of Equal Opportunity to Employment. We will recruit, hire, promote, transfer and provide opportunities for advancement based on individual qualifications and job performance in all matters affecting employment, compensation, benefits, working conditions, and opportunities for advancement. Ecolab will not discriminate against any associate or applicant for employment because of race, religion, color, creed, national origin,citizenship status, sex, sexual orientation, gender identity and expressions, genetic information, marital status, age, or disability.
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Key Skills
large language models (LLMs)
multi-agent orchestration frameworks
vector-based retrieval
About Company
Skills:
Large Language Models (LLMs), Java, Sql, Restful Apis, Data Modelling, Python, Kubernetes, NoSQL databases, Go, Agentic AI, Public cloud platforms, Containerization and orchestration tools
Skills:
data engineering , Cloud Platforms (Azure, GCP), Large Language Models (LLMs), Machine Learning, Microservices, Software Development, Docker, Python, Sql, Deep Learning, Api Development, AWS, MLops, Data Analytics, Kubernetes, AI Governance, Vector Databases, AI Operations, Responsible AI Practices, semantic search, Generative AI, AI Agent Frameworks, Model Evaluation and Optimization, NoSQL Databases, CI/CD, Prompt Engineering
Skills:
Algorithms, Computer Vision, Debugging, data structures, Python, ML infrastructure, LLMs, Data Processing, GenAI techniques, model deployment, language modeling, model evaluation, Optimization, Multi-Modal Large Vision Models
Skills:
Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), Git, Typescript, Docker, Python, Kubernetes, Distributed Systems, CrewAI, LangChain, AutoGen, LangGraph, Prompt Engineering, AI orchestration frameworks, LLM testing methodologies, Vector databases, AI evaluation frameworks, Inference optimisation, Model routing, Microservices architecture, CI/CD pipelines, Embedding models, Observability tools, Multi-agent systems, Fine-tuning
Skills:
Cassandra, PostgreSQL, Docker, metrics, Python, Azure DevOps, Logging, Git, Gcp, Apache Kafka, MongoDB, Rest Apis, Azure Machine Learning, Azure, Kubernetes, Event-Driven Architecture, AI Agents, LangGraph, GitHub Actions, Model Deployment, Google Vertex AI, Azure AI Search, Distributed Tracing, LangChain, Retrieval-Augmented Generation RAG, FAST API, Model Monitoring, Prompt Engineering, Large Language Models LLMs, Vertex AI Vector Search, pgVector