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Build and deploy AI-powered Python full-stack apps and integrations for customers, using FastAPI/React, MCP, LLM APIs, and cloud services.
Build AI-powered recruiting tools using Java, Spring Boot, and Oracle tech stack; design APIs, microservices, and GenAI features for talent acquisition.
Builds and maintains .NET web/desktop apps and integrates AI features like chatbots and document processing using C#, ASP.NET, and Azure AI/OpenAI APIs.
Build and scale an AI-powered edtech platform using TypeScript, Vue 3, and modern cloud tools; either focus on polished frontend UX or design robust AI pipelines and backend services.
Build and scale Alice’s AI-powered edtech platform, either as a frontend-focused full-stack engineer or an AI/backend specialist integrating LLMs, vector DBs, and orchestration pipelines in TypeScript.
Build and scale an AI-powered edtech platform using TypeScript/Vue 3 on the frontend and Node.js/tRPC backend, with LLM pipelines and agentic workflows.
Builds and maintains AI-powered assistants and transactional systems; works on full-stack development, RAG pipelines, vector databases, and automated QA for a payments and document-processing platform.
Builds enterprise-grade AI solutions (LLMs, RAG, agents) and scalable backend services for banking and healthcare clients using Python/Java/Node.js and modern cloud stacks.
Build and deploy enterprise AI systems like RAG pipelines and AI assistants using Python, LLMs, and vector databases; optimize performance and integrate APIs for production environments.
Design, build, and deploy AI/ML models and Generative AI solutions for clients in banking, healthcare, and other industries, covering the full lifecycle from data prep to MLOps.
Builds enterprise GenAI apps with Python, LangGraph, and RAG pipelines, integrating LLMs and vector search for AI agents and chatbots.
Design and optimize Retrieval-Augmented Generation platforms for enterprise AI, focusing on semantic search, vector databases, and scalable knowledge retrieval systems.
Design and deploy AI/ML solutions (LLMs, semantic search, pricing analytics) to improve HR and commercial decisions using Python, MLflow, Databricks, and Power BI.
Build and architect multi-agent AI systems for a LegalTech startup, automating patent workflows with LLMs while ensuring legal accuracy and production-grade reliability.
Build and deploy enterprise-grade AI systems using LLMs, Agentic AI, and RAG; integrate with cloud platforms and enterprise workflows while ensuring security, governance, and compliance.
Senior Data Scientist building and deploying production ML models, LLMs, and semantic search frameworks to optimize audience engagement and platform yield using AWS/Vertex AI.
Build and deploy AI-powered applications, copilots, and automations using Microsoft and AWS AI services to improve business efficiency and customer experience.
Design and advise on scalable, secure AI architectures for AWS customers, focusing on GenAI/ML and Agentic systems, and evangelize best practices through technical content and workshops.
Build AI-powered knowledge systems and retrieval pipelines for an HCM suite, integrating LLMs, RAG, and agentic workflows in TypeScript/Node.js and Python.
Build AI-powered web apps with React/Next.js and Python backends, integrating LLMs and RAG pipelines to automate design workflows and business operations.
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