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Build full-stack web apps for healthcare workflows and integrate AI models (LLMs, RAG, agents) to automate audits, billing, and clinical decision support.
Build AI-assisted backend systems for cloud storage, focusing on APIs, data pipelines, and AI workflows using Python, Go, and AI coding tools.
Build production-grade AI systems using LLMs and agentic architectures, splitting time between internal automation tools and client-facing AI solutions in Python/Go/TypeScript.
Lead a multi-tier AI platform (React frontend, Spring Boot backend, FastAPI agentic services) while mentoring engineers and owning architecture, reliability, and vendor-neutral patterns.
Lead a multi-tier AI platform (React frontend, Spring Boot backend, FastAPI agentic services) for an adtech agency, owning architecture, mentoring engineers, and driving LLM integrations while ensuring reliability and scalability.
Senior Backend Engineer builds AI-powered grant discovery and application tools using LLMs, tool-using agents, and RAG pipelines in Python, shipping production-grade services with robust evaluation and observability.
Build and deploy backend services for AI/ML models, integrating LLMs, vector databases, and RAG pipelines using Python, FastAPI, and cloud platforms.
Build and maintain LLM servers (Llama, Mistral, GPT API) and deploy AI agents that automate tasks like reminders, reports, and paperwork using vector databases and RAG pipelines.
Build and deploy AI models using Python, PyTorch/TensorFlow, and frameworks like LangChain and LlamaIndex; package models for production and collaborate on R&D.
Design and build LLM-powered multi-agent systems for digital banking using Google ADK and LangGraph, integrating RAG pipelines, tool calling, and robust orchestration for production deployment.
Build and lead an AI-powered HR platform: full-stack Python/Django backend with React frontend, integrating LLMs for recruiting workflows and mentoring engineers as the team scales.
Build and evolve backend services in C#/.NET, collaborate on React frontends, and help scale the platform on GCP for a startup marketplace.
Design and manage end-to-end data architecture on Google BigQuery, build scalable data lakes, and automate pipelines using Python and SQL for a fintech company.
Design and manage end-to-end data architecture on Google BigQuery, build scalable data lakes, and automate pipelines in Python and SQL for a fintech company.
Design and build scalable cloud data pipelines on GCP and AWS, integrating batch and real-time streams for analytics and AI use cases.
Develop and implement GenAI solutions using the Datapizza AI framework, focusing on RAG, AI agents, and speech-to-speech architectures for enterprise clients.
Build and deploy AI-powered features like NLP models and LLM integrations for SaaS products used by Indonesian businesses.
Build and maintain a universal data platform that integrates enterprise data sources into automated pipelines, ensuring high-quality data for AI agents, LLMs, and RAG workflows using Python, SQL, and GCP services.
Build full-stack apps in TypeScript/Next.js and Python/FastAPI, leveraging AI tools like Copilot to ship features quickly and debug end-to-end.
Build and improve AI-powered business solutions, cloud platforms, and automation tools using full-stack web development, LLMs, and secure enterprise systems.
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