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Designs end-to-end agentic AI platforms, integrating LLMs, RAG pipelines, and enterprise systems with security and governance guardrails.
Design and build AI agents and workflows using frameworks like LangChain and LangGraph to automate IT service management tasks such as ticket triage and SLA tracking.
Architect and own LSports’ GCP-based cloud platform and its agentic AI layer, designing scalable, secure systems for real-time sports data and LLM-powered automation.
Build AI-driven automation for software engineering at a global bank: design deterministic agents, integrate LLMs into CI/CD, and deploy scalable cloud-native systems using AWS/GCP.
Build and deploy AI agents for Adobe Express, designing agentic architectures, prompt systems, and RAG pipelines to power production workflows and scale.
POSITION OVERVIEW MCI is one of the fastest-growing tech-enabled business services companies in the USA, with a strong call center footprint and operations that extend across multiple countries. We deliver Customer…
Orange Business is here! About us Join us at Orange Business! We are a network and digital integrator that understands the entire value chain of the digital world, freeing our customers to focus on the strategic…
Lead the architecture and engineering of a bank-grade AI & Agentic Platform, designing agentic runtimes, LLM gateways, identity layers, and cloud-native infrastructure to support secure, scalable agent workflows across the enterprise.
Design and build scalable AI platforms for healthcare, focusing on LLMs, RAG, multi-agent systems, and model routing to improve clinical decision-making and patient care.
Build and architect AI-powered integration and migration tools for a global bank, using LLMs, agents, RAG, and cloud services to modernize legacy systems and scale reusable components.
Build and maintain scalable data pipelines for Roche’s pharma R&D, integrating clinical trial systems and AI/ML infrastructure using Python, Spark, and vector databases.
Lead AI engagements, design full-stack systems, and deploy production-ready prototypes using React, Python, and RAG architectures for enterprise clients in Kyndryl’s Frisco lab.
Build and deploy LLM-based generative AI systems to extract insights from unstructured healthcare data, improving strategy, efficiency, and customer experience.
Business Analysis of As-Is to Reimagined Workflows Design Solution Features & Functionalities Solution Lifecycle Management: Discovery-Prototype-Production Delivery-Enhancements-Scaling-DevSecOps Operations &…
Design enterprise-scale data and AI architectures for Fortune 500 customers, integrating cloud data platforms, LLMs, and agentic AI systems while translating business needs into technical solutions.
Build and deploy generative AI, LLM-powered, and agentic AI systems for federal clients, using TypeScript/Python and cloud-native tooling to deliver secure, scalable solutions.
Design and deploy AI solutions for Miro’s customers, guiding them through intelligent agents, automation, and integrations with tools like LangChain and OpenAI to enhance collaboration.
Our Team’s Mission We empower Miro’s go-to-market teams and customers with strategic consulting that drives adoption, scales innovation, and delivers measurable business value. Our Team’s Vision We are Miro's…
Build and deploy enterprise LLM applications, RAG systems, and AI agents using open-source models (DeepSeek, Qwen, Kimi) and frameworks like LangChain and vLLM.
Build and maintain production-grade GenAI agents in Python, integrating LLM tool-calling, RAG pipelines, and real-time speech/data systems for enterprise clients.
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