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Build and validate AI prototypes (summarisation, forecasting) using LLMs and Agentic AI for enterprise clients, assessing feasibility and ROI before full-scale deployment.
Senior AI Engineer builds and deploys production-grade AI agents for retail e-commerce, focusing on agent orchestration, RAG, and scalable pipelines with measurable business impact.
Prototypes generative AI and ML solutions for client projects, assessing feasibility and ROI through proofs-of-concept while collaborating with cross-functional teams.
Build and deploy AI systems using Python, RAG, and Agentic AI frameworks like LangChain on AWS cloud services.
Business Development Manager at DeepLLMData, sourcing clients and partnerships for AI/LLM model training services, crafting proposals, and collaborating with technical teams.
Build and maintain AI-powered features using Java full-stack and LLMs, RAG, and agentic workflows in a retail-focused product environment.
OptimizeGEO is seeking a senior independent IC to design and ship backend and AI workflows end to end for the platform, reporting to Head of Engineering. This role is fully remote with a compensation package including…
Build and deploy end-to-end AI solutions and agents, handling full-stack development and scalable architectures on cloud platforms.
Build and deploy AI agents for logistics workflows using LLMs, RAG, and agent frameworks; design prompts, tools, and evaluation pipelines to move solutions from pilot to production.
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 own AI/LLM systems for corporate spending management, including RAG, agent orchestration, and security controls, using Python and cloud-native tools.
Build and deploy production AI systems: LLM APIs wrapped in FastAPI, prompt engineering, structured JSON outputs, and observability for classification and agent workflows.
Design, build, deploy and operate enterprise-grade AI solutions including GenAI, AI agents, and decision-support systems for a UAE-based company.
Designs and leads Azure-based data lakehouse and GenAI solutions, setting enterprise data strategy and guiding teams to deliver AI-driven business impact in the UAE.
Designs and builds AI-powered workflow automations and agents using Python, LLM APIs, and tools like n8n or CrewAI to integrate systems and streamline business processes.
Build and deploy AI-powered trading software using LLMs, NLP, and generative AI to enhance enterprise workflows and SaaS features in a Dubai-based FinTech firm.
Build and deploy AI agents using LLMs (OpenAI, Claude, Gemini) and frameworks like LangChain to automate workflows and enhance fintech operations.
Build and deploy enterprise-grade AI solutions, including GenAI agents and RAG systems, using Python, cloud platforms (Azure/AWS), and frameworks like LangChain to improve customer experience and operational efficiency in an insurtech company.
Design, implement, and optimize AI models in Python/TensorFlow/PyTorch, deploy them to cloud, and collaborate with data scientists and engineers to drive business value.
Research and train large language models for financial applications using PyTorch, TensorFlow, and Hugging Face to optimize AI-driven fintech solutions.
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