Senior AI/ML Engineer
Posted Updated 21
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Summary
Senior AI/ML Engineer in Colombo who designs and builds Generative AI solutions for business use cases: LLM-integrated API applications, prompt engineering, vector databases, LLM orchestration, and data pipelines, deployed on cloud platforms like Azure, AWS, or GCP.
- Design, develop, and implement Generative AI solutions that address business and analytical use cases
- Build scalable, API-driven applications integrating Large Language Models using cloud-based services
- Apply prompt engineering techniques to optimise LLM performance, accuracy, and relevance
- Implement and manage LLM orchestration frameworks and vector databases to support advanced GenAI workflows
- Conduct rapid experimentation and evaluation of new GenAI models, tools, and capabilities
- Develop, maintain, and optimise data pipelines supporting structured and unstructured data for AI solutions
- Collaborate with GenAI leads, product owners, and cross-functional teams to deliver requirements from the product backlog
- Translate complex business problems into robust technical GenAI solutions
- Monitor, debug, and resolve issues across AI models, data pipelines, and application layers
- Leverage cloud platforms such as Azure, AWS, or GCP for storage, compute, serverless processing, and AI services
- Ensure AI solutions meet performance, scalability, security, and reliability standards
- Contribute to architecture decisions, best practices, and continuous improvement initiatives
- Document solution designs, implementation approaches, and operational procedures
- Stay current with emerging trends, tools, and advancements in Generative AI and data engineering
Requirements
- 3+ years of hands-on experience in data analytics, data engineering, or modern software development roles
- Strong background in AI/ML with a focus on Generative AI solutions
- Proficiency in programming languages such as Python, PySpark, or Java
- Experience integrating Large Language Models via APIs and building scalable AI-driven systems
- Hands-on experience with vector databases and LLM orchestration frameworks
- Solid understanding of prompt engineering and model optimisation techniques
- Experience building and maintaining data pipelines and ETL processes
- Exposure to cloud-native services on Azure, AWS, or GCP
- Bachelors or Masters degree in Computer Science, Statistics, Mathematics, or a related field