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Principal AI Agent / ML Software Engineer (OCI)
Principal engineer defining and building next-gen AI agent platforms on Oracle Cloud Infrastructure, leading multi-team execution and hands-on design of scalable, secure, and cost-aware agentic systems.
Software Engineer II (AI Integration)
Build and deploy AI/ML systems for banking, including LLM pipelines, real-time microservices, and MLOps tooling using Python, cloud platforms, and frameworks like LangChain.
Software Engineer III (AI Integration)
Build and deploy AI/ML systems for banking, including LLM pipelines, real-time model serving, and MLOps tooling in Python and cloud platforms.
Senior Software Engineer, AI Entries
Build backend infrastructure and APIs to connect the company’s systems with emerging AI ecosystems and multimodal interfaces, enabling third-party agents to interact seamlessly.
Full Stack Developer (Python, AI, React, Node.js)
Build full-stack web apps in Python, React, and Node.js, integrating AI/ML solutions and deploying on AWS/OpenShift for enterprise clients.
Gen AI Solutions Engineer #124
Build and deploy agentic AI systems on Google Cloud for enterprise customers, designing RAG pipelines, workflows, and production-ready MVPs while advising stakeholders.
Senior AI Engineer
Build and deploy production LLM-powered systems for healthcare, including RAG pipelines, agentic workflows, and evaluation frameworks while ensuring compliance and safety.
Senior AI Engineer
Build production-grade agentic AI systems (MCP servers, RAG pipelines, multi-agent workflows) using LLMs to automate enterprise workflows at RBC.
Senior Data Scientist Gen AI
Build and deploy generative AI models (LLMs, RAG, prompt engineering) on Azure to solve financial-services problems like health analytics and operations modernization.
Full Stack .NET Developer (mid-level)
Build and maintain full-stack .NET applications using C#, ASP.NET Core, and Entity Framework, while integrating AI tools like OpenAI and vector databases.
Data Scientist (Banking/ Python/ AI)
Data Scientist builds AI-driven insights for capital markets using Python and Azure Databricks to analyze data and deliver business value.
Remote ML Research Fellow: Generative AI & Systems
Research fellow role in generative AI and ML systems, building models with PyTorch/TensorFlow on AWS and MLOps tools like Docker and Langchain.
Associate Software Developer-Machine Learning
Build and maintain open-source ML tools and libraries, package research into reusable components, and enable scalable data pipelines and APIs for production deployment.
Full Stack Engineer
Build and maintain a full-stack insurance risk exchange platform using TypeScript, Svelte, AWS, and Postgres, with AI-assisted development workflows.
Full Stack Engineer
Build and ship an AI-powered trust layer for software testing: autonomous agents that simulate users, catch failures, and self-heal in production using Python, TypeScript, and cloud infra.
AI Engineer
Design and deploy AI-powered applications and intelligent assistants for clients using frameworks like LangChain and vector databases.
Software Engineer II (AI Integration)
Build and deploy AI/ML systems for banking, including LLM pipelines, real-time APIs, and MLOps tooling in Python and cloud platforms.
Software Engineer III (AI Integration)
Build and deploy AI/ML pipelines, fine-tune LLMs, and integrate generative AI into banking systems using Python, cloud platforms, and MLOps tools.
AI/ML Scientist
Build and deploy RAG pipelines and large-scale AI systems for industrial use cases like predictive maintenance and smart factories using Python, PyTorch, and vector databases.
Senior AI Engineer
Architect and deliver production-grade AI systems, including agentic workflows and RAG pipelines, using Python, LangChain, and AWS Bedrock. Work with clients to embed AI into enterprise processes and scale intelligent solutions.