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Build and scale the core infrastructure for Vectara’s enterprise RAG platform, focusing on backend services, DevOps, and ML workloads using Go, Python, or Java.
Build production-grade AI agents and LLM-powered features like chatbots and RAG systems using Python, FastAPI, and third-party models (OpenAI, Gemini, Claude).
Builds and deploys production RAG pipelines and LLM-powered backend services, coding daily and leading technical delivery.
Build and deploy production AI systems, including LLM-powered chatbots and RAG pipelines, using Python/Node.js and cloud infrastructure.
Builds and evaluates LLM-powered applications and RAG pipelines using Python and REST APIs for an international client.
Design and operate data infrastructure for AI systems, including retrieval-augmented generation, agent memory, and knowledge management in a fintech company.
Builds and maintains data pipelines for digital health applications, processing multimodal biosensor time-series data (accelerometer, ECG, PPG, EEG) using Python, cloud-native tools, and AWS services.
Builds enterprise-grade Python/Django and FastAPI backends plus React/Next.js frontends, deploys on AWS, and integrates AI models (OpenAI, LangChain) into scalable microservices.
Lead a team designing and building end-to-end data pipelines, warehouses, and analytics for clients using cloud platforms, SQL, Python, and DevOps practices.
Build and maintain Python-based backend services using FastAPI/Django, integrate Azure OpenAI and ETL pipelines, and collaborate in Agile sprints.
Build and deploy agentic AI systems using LLMs and reasoning architectures to improve patient outcomes in Philips' healthcare products.
Build and deploy agentic AI systems using LLMs and NLP for healthcare, focusing on RAG, chatbots, and structured information extraction to improve patient outcomes.
Build and deploy production-grade AI solutions using LLMs, RAG, and agentic AI in a data-driven product company.
Build and optimize Azure-based data pipelines and AI retrieval systems using Python, Databricks, and Azure Search to power AI/ML applications and RAG workflows.
Build and deploy GenAI infrastructure on Azure for banking applications, including Voice AI, RAG pipelines, and agentic workflows, while owning cloud deployments, APIs, and CI/CD.
Build AI-powered chatbots and conversational apps using Java/Kotlin, Spring Boot, and generative AI (LLMs, RAG, agentic AI) on cloud platforms like Azure.
Build full-stack web apps and AI-powered tools using React, Python, and LangChain/LangGraph, integrating RAG workflows and LLM APIs in a regulated bank’s analytics team.
Principal Software Engineer at Cvent builds and integrates AI-powered features (LLMs, RAG, agents) into hospitality tech, modernizes legacy systems, and mentors teams to improve performance and developer efficiency.
Build and maintain .NET backend services and AI/ML features for a real-estate platform, including gRPC APIs, vector search, and LLM-powered personalization integrated with SQL Server, MongoDB, and Elasticsearch.
Builds and scales data pipelines, crawlers, and semantic search systems using Golang/Node.js, MongoDB, PostgreSQL, and vector databases to power AI-driven financial analytics and RAG workflows.
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