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Build and lead an AI-powered virtual companion using LLMs and agentic frameworks to plan and optimize operations, focusing on prompt engineering, safety, and scalable AI solutions.
Build and deploy AI-powered applications on AWS, integrating LLMs and cloud-native tech to create production-ready AI services and agents.
Build and maintain an AI platform: design services, deploy LLMs, optimize inference, and implement MLOps/RAG workflows for enterprise AI solutions.
Build and integrate AI/LLM pipelines in Python, focusing on retrieval, matching, and production workflows while optimizing cost and latency.
Designs and builds enterprise-grade AI systems, including conversational AI, RAG platforms, and AI agents, using modern cloud and AI technologies.
Designs and builds enterprise AI backends and LLM-powered workflows, working with cloud services and AI agents to deliver production-ready solutions.
Build and maintain backend services for an AI-powered platform that integrates LLMs and retrieval pipelines with third-party business systems, ensuring reliable data sync and structured outputs.
Builds enterprise GenAI apps with Python, LangGraph, and RAG pipelines, integrating LLMs and vector search for AI agents and chatbots.
Designs scalable backend systems and APIs for an AI-powered customer experience platform, integrating external systems in a 4-day office schedule.
Build, integrate, and optimize AI/ML solutions using Python, LLMs, and MLOps pipelines for enterprise clients, while collaborating with data scientists and engineers.
Build practical generative AI solutions in Python to improve DHL's logistics operations and digital efficiency.
Senior engineer builds and evaluates AI training data for LLM code agents, writing prompts, producing reference code, and critiquing model outputs for correctness and quality.
Design and develop AI agents and autonomous systems for complex task execution and decision-making, including conversational AI solutions.
Designs and builds AI agents and orchestration flows using Python and advanced AI systems.
Pre-sales consultant designs and deploys Oracle Cloud architectures for customers, collaborating with teams to solve business problems and drive cloud adoption.
Builds and integrates generative AI and LLM-powered features into payment platforms using LangChain, LlamaIndex, FastAPI, and vector databases.
Designs and builds data pipelines, cloud integrations, and AI solutions for renewable-energy operations, using Python, APIs, and Power BI.
Build and maintain data pipelines and AI solutions for a renewable-energy company, using Python, Power BI, and cloud platforms like MS Fabric.
Builds Python-based backend APIs and microservices on AWS, integrating generative AI models (e.g., OpenAI, Amazon Bedrock) to modernize financial systems and automate workflows.
Builds and deploys production-grade AI systems—including multi-agent workflows and copilots—using Microsoft AI tools to automate decisions and improve efficiency in business operations.
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