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Builds and validates AI-generated Go code for next-gen dialog agents used in education, entertainment, and Q&A, while leading feature development and mentoring engineers.
Build and evaluate datasets of verifiable software-engineering tasks from public GitHub repos to train LLMs on realistic coding problems, including environment setup, issue triage, and test-coverage analysis.
Lead enterprise-scale GenAI projects for Fortune 500 clients, designing and building scalable LLM-powered systems with RAG, agents, and Graph-RAG architectures.
Senior engineer building enterprise-scale GenAI apps using LLMs, RAG, and agent frameworks; designs backend services and integrates AI into Fortune 500 systems.
Builds and evaluates datasets for training and benchmarking large language models, curating code examples and refining AI-generated solutions in multiple programming languages.
Build and validate realistic coding-agent benchmark tasks using production-like repos, tests, and safety checks to evaluate LLM performance and alignment in Python.
Lead enterprise-scale GenAI projects, building Graph-RAG systems that combine LLMs with knowledge graphs for scalable, explainable AI solutions using Python, LangGraph, and cloud platforms.
Design multi-turn dialogues simulating user interactions with AI assistants that use function-calling tools, crafting both sides of the conversation to train and evaluate LLMs.
Build and evaluate datasets of verifiable software-engineering tasks from public GitHub repos to train LLMs on realistic coding problems.
Lead enterprise-scale GenAI projects, building Graph-RAG systems that combine knowledge graphs with LLMs to deliver scalable, explainable AI solutions for Fortune 500 clients.
Builds and evaluates datasets for training and benchmarking LLMs, curating code examples and refining AI-generated code in Python, JavaScript, C/C++, Java, Rust, and Go.
Lead enterprise-scale GenAI projects, designing and building production-grade LLM-powered systems with RAG, agents, and vector databases for Fortune 500 clients.
Lead AI-driven transformation at a fast-growing e-commerce logistics startup, building agentic tools to automate finance, operations, and product workflows while directly shaping company strategy as a senior leader.
Senior AI Engineer builds and deploys AI agents and automation on Microsoft’s stack, balancing low-code tools like Copilot Studio with pro-code models on Azure AI Foundry, and mentors the team.
Senior AI/ML engineer building real-time crypto market intelligence systems using LLMs, vector DBs, and exchange APIs; owns full stack from data ingestion to deployment.
Build and operate a secure, scalable platform to host large language models, integrating GPU clusters, MLOps pipelines, and observability while optimizing inference performance and tenant isolation.
Design and deploy AI agents and ML models to automate workflows in gaming operations, integrating with enterprise systems using Python, Azure AI, and Power Platform.
Lead enterprise AI programs for Fortune 500 customers, designing and deploying agentic workflows and RAG systems while mentoring a small team of Applied AI Engineers.
Build and deploy enterprise-grade AI agents and RAG systems for Fortune 500 customers using Snowflake’s Cortex, Snowpark, and native LLM capabilities, owning the full lifecycle from prototype to production.
Build and deploy AI models to automatically grade and evaluate Apple’s GenAI products, using prompt engineering and LLMOps to ensure quality and safety at scale.
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