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Build and deploy AI-powered applications using Python, LLMs, and vector databases. Design scalable GenAI systems with cloud-native tools and enterprise integration patterns.
Build and deploy ML models to predict delivery dates, detect failures, and optimize logistics for 50M+ monthly shipments using Python, Spark, and cloud platforms.
Build and deploy RAG systems and fine-tune LLMs to generate insights about flexible workspace usage, using Python, cloud MLOps, and vector databases.
Build and deploy enterprise AI agents and automation workflows that integrate with internal systems, APIs, and data platforms using Python, LangChain/LangGraph, and cloud infrastructure.
Design and deploy enterprise AI agents using frameworks like LangGraph or LangChain, integrating them with business systems and workflows.
Build and deploy AI/ML systems for classified missions, translating user workflows into LLM-powered or agent-based automation that integrates with existing platforms.
Design and build generative AI systems using LLMs, agentic architectures, and RAG pipelines, optimizing models and managing unstructured data for scalable production deployments.
Designs and builds scalable cloud data pipelines on GCP and AWS, integrating batch and real-time streams into data warehouses and lakes while collaborating with AI teams on GenAI and agentic systems.
Design and deliver AI architectures for clients, focusing on RAG pipelines, agentic workflows, and LLM integrations using Python, cloud AI platforms, and vector databases.
Build and deploy full-stack agentic AI applications using Python, React, and LLM frameworks like LangGraph or AutoGen, integrating RAG pipelines, MCP servers, and DevOps practices for enterprise clients.
Design and lead AI-powered test automation frameworks using LLMs, RAG, and agentic AI. Build intelligent testing workflows and integrate them into CI/CD pipelines.
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.
Builds and deploys AI-driven agentic platforms for enterprise clients, focusing on LLM orchestration and multi-agent systems using Python and modern AI frameworks.
Build and deploy AI-powered web apps and APIs for a digital asset platform, integrating LLMs, RAG, and agentic frameworks with Java Spring Boot, Kubernetes, and AWS.
Air Srl – AI Software Engineer Air Srl sta rivoluzionando la comunicazione tramite agenti AI vocali e testuali avanzati. Come AI Software Engineer, avrai un impatto diretto sullo sviluppo di soluzioni innovative di…
Builds AI-powered agents and copilots to embed into Flock Freight’s operational workflows, improving decision-making, automating tasks, and driving measurable business impact by collaborating directly with business teams.
Build and deploy AI solutions for enterprise customers, including predictive models, GenAI chatbots, and agentic AI systems using Python, LangGraph, and Kubernetes.
Lead the architecture and strategy of JLL’s enterprise data platform, consolidating global systems into a unified, scalable data layer to power AI-driven insights and analytics for commercial real estate.
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