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Build and ship AI-driven features end-to-end: scope problems, design systems, write Python/SQL code, and deploy LLMs, embeddings, and predictive models on Snowflake/BigQuery for social-first brand ecosystems.
Build and scale AI-powered personalized learning tools using TypeScript/Vue 3 and LLM pipelines on a TypeScript/tRPC backend, with optional full-stack contributions.
Build and integrate AI-driven features into enterprise Java/Spring Boot microservices, focusing on RAG, agentic systems, and responsible AI practices in Doha.
Build and ship production-grade AI systems—LLMs, agents, retrieval, and evals—from prototype to scalable deployment for high-stakes decision-making.
Build and optimize AI agents and big-data pipelines (Spark, Kafka, Hadoop) to power PubMatic’s ad-tech analytics platform, integrating LLMs and real-time processing for deeper customer insights.
Build and scale the ML platform powering PubMatic’s adtech stack, designing pipelines for petabyte-scale data, GPU-accelerated training/inference, and RAG systems to troubleshoot bid streams and deliver AI-driven insights.
Build and optimize AI agents for adtech using LLMs, RAG, and vector databases to enhance contextual ad generation and retrieval.
Build and optimize AI agents and big-data pipelines using Spark, Kafka, Scala, and Python to power PubMatic’s adtech analytics platform and deliver real-time insights.
Build and optimize AI agents for advertising using LLMs, RAG, and vector databases to enhance generative AI capabilities in a hybrid work environment.
Build and deploy LLM-based GenAI systems using Python, Langchain, and RAG pipelines, collaborating with teams to shape AI roadmaps and productionize models.
Senior engineer building enterprise-scale GenAI apps using LLMs, RAG, and agent frameworks; designs backend services and integrates AI into Fortune 500 systems.
Build and maintain cloud-native .NET Core and React/Angular apps for fintech compliance and payments systems, integrating AI tools and DevSecOps practices.
Build and own a production multi-agent AI system that automates research, content, and business workflows using Python, RAG, and cloud tools.
Design and deploy enterprise-grade AI agents and ML systems using cloud-native tools (Azure AI Foundry, AWS Bedrock, Google Vertex) and open-source frameworks, ensuring reliability in regulated environments.
Middle AI Engineer builds and integrates AI features using Python, LLM APIs, and vector search for mobile/web products, focusing on prompt tuning, model evaluation, and production quality.
Build and ship production-grade agentic AI systems in Python, integrating LLMs with tools, memory, and multi-agent workflows on Azure AI Foundry for real customer use cases.
Builds scalable data pipelines and AI systems for an investment bank, integrating LLMs, RAG, and analytics to process complex datasets and enable intelligent decision support.
Design and partition cutting-edge AI models (e.g., Transformers) for custom silicon, mapping them to heterogeneous ASICs before hardware tape-out and ensuring cycle-accurate performance.
Principal Software Engineer to lead AI integrations and architecture for an enterprise intranet platform, building features in C#, ASP.NET, ReactJS, Node.js, and AWS while mentoring teams.
Builds generative-AI prototypes and integrations with LLMs (OpenAI, Anthropic, Google) to solve business needs, using Python/JavaScript and prompt engineering.
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