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Build and deploy AI systems using Python, RAG, and Agentic AI frameworks like LangChain on AWS cloud services.
Build and maintain AI-powered features using Java full-stack and LLMs, RAG, and agentic workflows in a retail-focused product environment.
Build and own AI/LLM systems for corporate spending management, including RAG, agent orchestration, and security controls, using Python and cloud-native tools.
Build predictive models and AI/LLM pipelines to drive energy trading decisions, using Python, SQL, and workflow orchestration tools.
Build and own Qashio’s AI/LLM platform, designing secure, vendor-neutral systems for agent orchestration, RAG, and compliance controls from prototype to production.
Lead the build and governance of Americana’s cloud data platform (Azure Synapse/Fabric), Power BI semantic layer, and AI-ready data foundation across 13 markets and 2,749+ restaurants.
Build and deploy AI agents using LLMs (OpenAI, Claude, Gemini) and frameworks like LangChain to automate workflows and enhance fintech operations.
Build and deploy enterprise-grade AI solutions, including GenAI agents and RAG systems, using Python, cloud platforms (Azure/AWS), and frameworks like LangChain to improve customer experience and operational efficiency in an insurtech company.
Builds and deploys production AI systems like voice hardware, conversational agents, and RAG pipelines using Python, FastAPI, and ML frameworks.
Designs and deploys LLM-powered agents and copilots, builds RAG pipelines, and integrates vector databases for client workflows.
Build and test AI-powered airline tools using Python, LLMs, and agentic workflows; validate accuracy, safety, and performance of generative AI systems for aviation operations.
Design and build AI agent systems using LLMs, agent frameworks, and tool integrations to create scalable, reasoning-driven applications for a financial services firm.
Senior Data Scientist builds and deploys AI models—including LLMs and computer vision—to optimize oil production workflows using Python, PyTorch, and cloud GPUs.
Lead backend architecture for an AI platform, designing scalable LLM integrations and distributed systems while mentoring engineers and shaping technical strategy.
Builds LLM-powered agents that turn natural language into data analysis, using Python, pandas, LangChain, and text-to-SQL toolkits to process CSV and database queries.
Build and operate sovereign AI infrastructure for government clients, deploying GPU clusters in air-gapped data centers and cloud (Azure/GCP) using Kubernetes, GitOps, and offline artifact pipelines.
Build and deploy AI systems using semantic search, RAG, and multi-agent workflows with LLMs and NLP/NLU techniques in Python and cloud platforms.
Build and deploy generative AI chatbots, predictive models, and analytics dashboards using Python, LLMs, and tools like Streamlit and Power BI.
Build and ship LLM-powered features for enterprise clients, including RAG systems, AI agents, and vector-based retrieval pipelines using Python, LangChain, and cloud tools.
Build and deploy AI systems including LLMs, computer vision, and autonomous agents using Python, PyTorch, and LangChain, then productionize them with MLOps on cloud platforms.
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