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Build production-grade generative AI systems for legal use cases using LLMs, RAG, and agentic workflows while ensuring reliability, security, and compliance.
Develops AI-powered audience analytics and media intelligence solutions using real-time data; builds production ML/PySpark pipelines on Databricks with MLOps best practices.
Lead the delivery of multiple AI and Data Engineering engagements — managing pods, reviewing architectures, and engaging clients — with deep hands-on knowledge of LLMs, RAG, Agentic AI, data pipelines, and cloud platforms.
Builds and optimizes AI training pipelines, annotation workflows, and model evaluation tools to improve machine learning performance at scale, collaborating with data scientists and researchers.
Designs, codes, and deploys scalable GenAI services, chatbots, and autonomous agents using modern frameworks; maintains LLM infra on-premise (Docker/Kubernetes), optimizes RAG pipelines, and ensures security. Core tech: Python, LLMs, RAG, vector databases, Docker/Kubernetes.
Designs and scales GenAI-powered applications for ZEISS, focusing on enterprise-grade solutions like copilots, agents, and smart workflows using Azure and LLMs.
Design and build GenAI agents that assist Bosch engineers with tasks like requirements analysis, documentation, and failure analysis using LLMs, embeddings, and vector databases.
Work as a consultant developing backend systems, APIs, and cloud solutions for clients, with focus on AI integration and cloud technologies.
Build and deploy AI-powered automation workflows using Python/Node.js, n8n/Zapier/Make, and LLMs (Claude/Gemini/OpenAI) to streamline business processes and enable teams to self-manage solutions.
Build and operate scalable backend services that power AI-driven workforce management features using Java, Python, and cloud-native tools.
Builds and maintains high-performance backend services in Rust and Python (FastAPI) within a microservices architecture to power an edtech platform.
Build and maintain high-performance backend services in Rust and Python (FastAPI) for an edtech platform, designing microservices and improving system reliability.
BOLD is seeking for newest addition to our existing Data Science team, you’ll combine your analytical skills and business knowledge to deliver key insights to our Product and Management teams. You’ll help drive product…
Designs and deploys production-grade AI agents using LLMs, agent orchestration frameworks, and enterprise systems to automate complex workflows via natural language interactions.
AI BACKEND DEVELOPER – MADRID We are looking for an AI Backend Developer with the drive and ability to be a key member of our young and versatile sports tech development team. We are a company that pioneers and…
A Senior Software Engineer builds high-scale, secure backend systems in cloud environments using Node.js, TypeScript, and AWS serverless, with expertise in AI features like LLMs and RAG, and focuses on scalability, security, and real-time data processing.
Designs and scales data infrastructure for an AI-powered property management platform, focusing on real-time pipelines, vector databases, and ML workflows while defining the data team’s culture and standards.
Senior AI Engineer designing and deploying ML/DL models and LLM-based solutions for healthcare and business use cases, using Python, PyTorch/TensorFlow, NLP libraries, Docker, and cloud platforms.
Senior architect designing and delivering AI-first, cloud-native applications and solutions for Microsoft’s Global Center Innovation and Delivery Center, focusing on full-stack engineering, AI integration (Azure AI services, GitHub Copilot), and scalable DevOps practices.
Designs and optimizes GPU-based infrastructure for GenAI/LLM workloads, focusing on distributed training, performance tuning, and scalable deployments across cloud and on-prem environments.
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