hybrid
Senior AI Engineer (Generative AI + LLMs)
Senior AI Engineer (Generative AI + LLMs)
The Senior AI Engineer will join the tsworks AI Research team to work on Generative AI projects across various industries. This role involves developing and optimizing Generative AI models, training custom LLMs, building AI agents, and deploying scalable ML solutions on cloud platforms like AWS, Azure, or GCP, in a hybrid work setting.
About the role
About the Role
We are seeking dynamic Senior AI Engineers to join the tsworks AI Research team for cutting-edge Generative AI projects across Banking, Retail, Healthcare, and Supply Chain industries. This role requires working hybrid (3 days onsite) to develop, train, validate Large Language Models, build AI agents, and deploy scalable ML solutions on AWS/Azure/GCP.
Key Responsibilities
- Develop/optimize state-of-the-art algorithms including Generative AI models
- Train custom LLMs - select, fine-tune, and prompt engineer for specific tasks
- Build AI Agents for industry-specific automation and decision-making
- Create robust model validation frameworks ensuring accuracy/scalability
- Cloud deployment of ML solutions on AWS, Azure, or GCP
- Analyze large-scale datasets for actionable AI/ML insights
- Collaborate on product development integrating AI/ML components
- Contribute to AI research community staying ahead of advancements
Required Technical Skills
- Generative AI: 1+ years experience with LLMs, Multi-Modal, Vision Models
- ML Infrastructure: 2+ years experience in model deployment, evaluation, optimization
- Programming: 4+ years experience with Python/Java/R + data structures/algorithms
- DevOps: Experience with Microservices, DevSecOps principles
- Cloud: Experience with AWS/Azure/GCP ML platforms
- Experience: Production AI/ML systems
Skills
Generative AiLlmsMulti ModalVision ModelsMl InfrastructureModel DeploymentModel EvaluationOptimizationPythonJavaRData StructuresAlgorithmsDevOpsMicroservicesDevSecOpsAWSAzureGCPMl PlatformsProduction AI/ML systemsmodels