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Builds backend services in C#/.NET and ASP.NET Core for an AI-powered sales-assistant platform, improving telemetry, diagnostics, and third-party integrations.
Designs real-time data pipelines and RAG architectures to convert IT logs into vector embeddings for AI agents, while enforcing data quality and privacy guardrails.
Build and own the backend for real-time AI assistants used in malls, airports, and stadiums, using Python, Django, PostgreSQL, and GCP.
Build and deploy AI-powered NLP/LLM features for a SaaS quality-management platform used by global contact centers, working with Python, Hugging Face, and AWS.
Build and scale AI-driven document systems, focusing on PDF processing, RAG pipelines, and LLM-powered retrieval/analysis for enterprise workflows.
Junior software engineer building AI-powered document applications, focusing on Python, LLMs, and PDF processing workflows.
Junior software engineer building AI-powered document applications, focusing on PDF processing and LLM-driven workflows using Python.
Build AI agent workflows and front-end tools using LLMs (OpenAI/Claude), MCP, and React/AngularJS to enhance eBay’s developer and business workflows.
Designs secure, scalable AWS-based data platforms and AI solutions for APAC clients, ensuring compliance and measurable business outcomes.
Build and ship AI features in C# .NET, focusing on prompt design, LLM integration, and evaluation to ensure production-grade quality for trading and business management software.
Lead AI Engineer designs and delivers enterprise-grade AI solutions, including LLM apps, RAG systems, and AI agents, while setting engineering standards and mentoring teams.
Build and deploy NLP models to extract insights from large legal text datasets, collaborating with engineers and annotators in a startup-like team within a large data company.
Lead the design and implementation of scalable GenAI, LLM, and AI-agent architectures, including RAG and MLOps/LLMOps pipelines, to deliver enterprise solutions and accelerate client adoption.
Build AI-powered cybersecurity tools: design LLM pipelines, retrieval systems, and MCP infrastructure to help security leaders assess risk with trustworthy, actionable insights.
Build AI-powered creative tools and intelligent workflows, integrating LLMs and multimodal AI into production systems using Swift, C#, Python, and Azure.
Build and refine the core AI-powered matching engine that connects researchers with 4M+ participants, using semantic search, ranking algorithms, and pragmatic ML to improve relevance and conversion.
Lead a team to integrate generative AI and LLMs into engineering practices, coach teams on safe AI use, and modernize SDLC with AI-first solutions.
Builds the core conversational analytics platform for education, designing full-stack features that let non-technical users query data with natural language and AI-driven text-to-SQL.
Design and scale RAG pipelines that turn IT logs and docs into vector embeddings, maintain high-performance vector databases, and build semantic layers for AI agents.
Build and lead production-grade conversational AI agents using LLMs, RAG, and guardrails, while owning the full stack and cloud infrastructure in a hands-on leadership role.
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