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Build and evaluate AI agent architectures that work reliably across different models, providers, and environments, focusing on portability, interoperability, and optimization.
Designs, builds, and deploys AI/ML models for industrial use cases like predictive maintenance and computer vision, using Python frameworks and cloud platforms.
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.
Designs secure, scalable AWS-based data platforms and AI solutions for APAC clients, ensuring compliance and measurable business outcomes.
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.
Design, build, and optimize AI and Generative AI solutions using Python, Azure OpenAI, LLMs, and RAG pipelines for enterprise automation.
Builds and maintains AI-powered cloud apps using LLMs, RAG pipelines, and vector databases for Doghouse’s SaaS and client projects.
Build AI-powered creative tools and intelligent workflows, integrating LLMs and multimodal AI into production systems using Swift, C#, Python, and Azure.
Design and deploy AI-powered workflows and agents using LLMs and automation tools to automate business processes and improve productivity.
Builds AI-powered workflows and agents using Python, LLM APIs, and tools like n8n or CrewAI to automate business processes and integrate systems.
Build and deploy LLM-based AI systems for government services using RAG, fine-tuning, and prompt engineering with Python, LangChain, and cloud ML services.
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.
Design, build, and deploy AI-driven solutions including generative ML apps with LLMs, LangChain, and vector databases, and optimize end-to-end ML pipelines on AWS.
Design and deploy AI agents and workflow automations that integrate with enterprise systems, using Python, JavaScript/TypeScript, and frameworks like LangChain or Azure OpenAI.
Build and operate an internal AI platform for a fintech company, designing retrieval layers, agent runtimes, and deployment pipelines using Python, FastAPI, and cloud services.
Build and maintain scalable data pipelines and AI systems using Python, SQL, NLP, and LLM technologies to support data-driven decision-making and GenAI solutions.
Design and implement AI evaluation, orchestration, and verification workflows for a high-assurance agentic AI platform used in regulated industries.
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