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Build autonomous AI agents and RAG systems to automate marketing workflows, integrating LLMs, vector databases, and cloud platforms like GCP/AWS.
Build AI-powered enterprise solutions for pharma using LLMs, RAG, and knowledge graphs to create intelligent decision-support tools and synthetic personas.
Build full-stack B2B SaaS and AI products using Node.js, TypeScript, NestJS, React, Next.js, and PostgreSQL with end-to-end ownership of features.
Build and scale a Spanish-language math-tutoring platform that pairs human tutors with an AI assistant, focusing on full-stack TypeScript, LLM integrations, and privacy-by-design infrastructure.
Build and scale the core platform powering Flyboard’s AI voice agents, integrating top LLM and speech providers while ensuring reliability and performance under high load.
Senior Cloud/DevOps Engineer designs, scales, and secures Yurest’s AWS-based SaaS platform for hospitality clients, using Kubernetes, CI/CD, and AI infrastructure while mentoring the team.
Build modern React/TypeScript frontends with Azure cloud integration, focusing on greenfield projects and real-time data. Work with AI/LLM APIs and ensure WCAG 2.1 AA accessibility.
Build a Python-based AI orchestration engine for financial research, integrating LLM APIs and cloud-native services to automate research workflows.
Build and deploy AI/ML systems for finance, using LLMs, prompt engineering, and neural networks with Python, TensorFlow/PyTorch, and cloud platforms.
Build production-ready GenAI and agentic AI systems for global enterprises using Python, LLM APIs, and cloud platforms like AWS/Azure/GCP.
Build enterprise-grade GenAI applications and autonomous multi-agent systems using Python, LLM APIs, and vector databases, then deploy them to cloud platforms for Fortune 500 clients.
Build AI-powered data workflows in Snowflake for a bank: integrate LLMs via Cortex, design RAG pipelines, and ship Streamlit features that help engineers and business users query and analyze financial data.
Build and maintain AI-powered full-stack applications and agentic systems for a pharmaceutical client using Python, AI frameworks (LangChain, LangGraph), and AWS.
Builds and optimizes large-scale data pipelines using Scala, Spark, Kafka, and Airflow to process massive datasets for global stakeholders in the mobile app ecosystem.
Staff Software Engineer at Priority leads system design and reliability across teams, focusing on AI-driven fintech solutions like fraud detection and operational efficiency using Node.js, Python, AWS, and Kubernetes.
Build LLM-powered automations, chat/voice assistants, and RAG pipelines using Python, FastAPI, and vector databases; deploy cloud-native services with CI/CD and guardrails.
Builds the core AI App Builder platform: a full-stack system where users describe ideas and the platform generates functional apps, using React/Next.js, Node.js, and serverless/edge tech.
Senior Full Stack Engineer builds and maintains cloud-native backend services in Java and Python for a global financial-services client, using Azure, Kubernetes, and AI-assisted tools.
Build and ship AI-powered web apps and agents using LLMs, Python/Node.js, and cloud tools; integrate AI into marketing platforms and internal tools for measurable business impact.
Build AI-native workflows and agent systems that integrate LLMs, memory, and tools into production-grade features using Next.js, Python, and Node.js.
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