VI

Lead GenAI Engineer

Virtusalinkedin.com
Oct 10, 2026, 8:04 AM2w ago
Full-timeColombo, Western ProvinceAI engineeringLead (5+ yrs)

About the role

The Lead GenAI Engineer role focuses on designing, developing, and deploying AI-powered solutions using no-code, low-code, and advanced engineering platforms. The position involves translating business needs into scalable applications that enhance products, workflows, and decision-making, while ensuring responsible AI practices and production readiness. Key responsibilities include partnering with senior AI/ML engineers to experiment with novel model architectures and generative AI capabilities, advancing autonomous agentic systems, and optimizing data pipelines for large-scale operations. The role requires strong experience in software development, AI/ML solution delivery, and proficiency with relevant technologies such as Python, Azure, and front-end frameworks.

Must have

  • Bachelor’s or Master’s degree in computer science engineering or a related field or equivalent relevant experience
  • 5+ years of software development experience including 2+ years delivering AI/ML focused solutions
  • Hands on experience implementing generative AI solutions using OpenAI compatible APIs and cloud-based AI and data services
  • Advanced Python proficiency for AI ML engineering backend services automation and data processing.
  • Hands on experience with Azure App Service Azure Functions Azure Monitor and Application Insights.
  • Experience with GitHub and Microsoft 365 Copilot in enterprise engineering workflows
  • Experience developing front end applications using React or Angular and backend services using Python.
  • Solid understanding of RAG architecture vector databases embeddings semantic search retrieval optimization and evaluation
  • Demonstrated ability to lead the design and implementation of intelligent applications using Azure OpenAI, an enterprise LLM gateway and RAG techniques

Nice to have

  • Experience with prompt engineering model evaluation and fine tuning large language models
  • Creates reusable patterns documentation and engineering assets that accelerate delivery across teams.
  • Build trusted stakeholder relationships and communicate technical decisions risks and trade offs clearly.

Technologies

  • Agentic AI
  • Angular
  • Azure
  • Azure App Service
  • Azure Functions
  • Embeddings
  • Fine-Tuning
  • Generative AI
  • GitHub
  • LLM
  • Machine Learning
  • Microsoft 365
  • Model Evaluation
  • OpenAI
  • Prompt Engineering
  • Python
  • RAG
  • React
  • Responsible AI
  • Semantic Search
  • Vector Databases