Senior AI Engineer
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Job Location:
Monthly Salary:
Posted on:
2 days ago
Vacancies:
1 Vacancy
Job Summary
As a Senior Data Scientist you will 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. Youll drive solution architecture mentor junior engineers and deliver production-ready applications that integrate deeply with business processes and platforms.
Key Responsibilities:
Lead the design and deployment of GenAI systems leveraging LLMs retrieval pipelines and orchestration frameworks for multi-step task execution
Architect and optimize prompt workflows including chaining templating and context control for high-accuracy and cost-efficient solutions
Build and maintain embedding-based retrieval systems using vector databases and context-aware generation techniques (e.g. retrieval-augmented generation)
Collaborate with product owners and engineering leads to align solution architecture with business objectives
Guide and mentor junior engineers on best practices in prompt design token optimization security controls and observability patterns
Define standards for code modularity response consistency prompt safety and testing across LLM-powered applications
Maintain strong CI/CD practices using version-controlled workflows and cloud-native deployment pipelines
Evaluate emerging GenAI tooling and provide technical recommendations for experimentation and adoption
Qualifications
4 years of experience in AI/ML solution delivery with a strong focus on GenAI or LLM-integrated systems
Expertise in Python (v3.11) with deep familiarity in LLM APIs embedding generation vector-based search and modular pipeline design
Proven experience in building and deploying prompt-driven applications at scale
Solid understanding of agent orchestration patterns multi-agent task flows and context layering techniques
Hands-on experience in cloud-native delivery (preferably Azure) including containerization CI/CD and monitoring
Preferred Qualifications
Exposure to model context protocols (e.g. MCP) and agent-to-agent (A2A) coordination concepts
Experience with LLM observability tools (latency tracking relevance scoring cost management)
Contributor to internal or open-source projects that showcase applied GenAI workflow orchestration or prompt libraries
Understanding of responsible AI guidelines token-level safety and enterprise security standards in GenAI applications
Required Experience:
Senior IC
Key Skills
- APIs
- C/C++
- Computer Graphics
- Go
- React
- Redux
- Node.js
- AWS
- Library Services
- Assembly
- GraphQL
- High Voltage
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.
