AI Engineer
Core
Design, develop, and implement AI and Generative AI solutions using LLMs, Agentic AI frameworks, and RAG architectures to drive operational efficiency and provide actionable insights.
Role type
Senior IC AI Engineer (Generative AI & LLMs)
Builds
Scalable AI/ML pipelines, production-level AI applications, and cloud-native integrations for business analytics and automation.
Domain
Financial services technology / Generative AI / Cloud Infrastructure
Deliverable
production ML models
Required skills
Python, SQL, Spark, LLMs, Generative AI concepts, prompt engineering, MLOps, LLMOps, cloud platforms (Azure/AWS/Databricks), containerization (Docker/Kubernetes), APIs, ETL processes, vector databases, orchestration frameworks (LangChain), Git
Preferred skills
Experience with Microsoft Fabric, Microsoft Copilot technologies, AI/ML frameworks, software development lifecycle, deployment processes
Technologies
Azure, Databricks, AWS, Docker, Kubernetes, LangChain, Git, Microsoft Fabric, Microsoft Copilot
Responsibilities
Design and implement AI/GenAI solutions with LLMs and RAG; develop scalable AI/ML pipelines and cloud integrations; integrate AI capabilities with APIs and internal applications; support deployment, testing, monitoring, and maintenance following MLOps/LLMOps; implement Responsible AI practices including bias detection, hallucination mitigation, and explainability dashboards; stay updated on emerging AI trends and technologies.
Seniority
Mid-to-Senior, hands-on IC
