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Build and maintain cloud data pipelines, ETL/ELT workflows, and ML model services using Python, SQL, AWS, Airflow, and dbt to power analytics and AI features for a logistics company.
Build and ship production-grade AI-powered applications end-to-end, integrating LLM agents, RAG pipelines, and full-stack services to deliver real business impact.
Build and industrialize AI/ML pipelines for Crédit Agricole, turning experiments into secure, scalable production systems using MLOps, LLMOps, and data engineering.
Build and optimize GCP-based data pipelines and vector databases to power AI models like LLMs and RAG systems for Doctolib’s AI Medical Companion, supporting healthcare professionals across Europe.
Builds and maintains the backend services and AI pipelines for an enterprise-grade conversational AI agent using Python, FastAPI/Flask, LangChain, and Google Gemini Enterprise on GCP.
Builds Python back-end services and AI pipelines for an enterprise GenAI assistant using FastAPI/Flask, LangChain, and Google Vertex AI on GCP.
Builds and maintains backend services and AI pipelines for conversational agents using Python/Go, integrating LLM APIs (Gemini/Vertex) and social data sources to power Ipsos Synthesio’s social intelligence platform.
Design and build scalable GCP data pipelines and deploy agentic AI systems using Vertex AI, LangChain, and RAG for enterprise clients.
Build and evolve a B2B SaaS platform that finances energy-efficiency retrofits using AI-driven regulatory engines and LLM tools in Python, FastAPI, and vanilla JS.
Build and maintain .NET backend APIs and microservices while integrating AI features like LLM, RAG, and embeddings using Azure OpenAI and related tools.
Build and deploy robust backend services that expose, orchestrate, and supervise AI solutions like conversational agents, RAG pipelines, and NER extractors in Python.
Build AI-powered retail automation in Clojure: outfit generators, vector search, and LLM workflows that serve 100M+ shoppers via APIs for fashion retailers.
Build and run backend systems that orchestrate AI models into reliable, low-latency APIs for a proactive smart assistant, handling multi-step workflows and tool calls.
Backend engineer building and optimizing databases, ETL pipelines, and FastAPI services to power a data-driven platform for a global communications agency.
Build and run the backend systems that power an AI chat app, focusing on inference pipelines, orchestration, and reliable APIs for real-world task completion.
Build backend infrastructure for AI systems that learn from real-world outcomes, using Rust and Python to create low-latency APIs, data pipelines, and observability tools.
Build and secure CI/CD pipelines, automate infrastructure, and integrate GenAI tools into DevOps workflows while ensuring enterprise compliance and reliability.
Build and maintain backend services and APIs for a SaaS security platform that protects enterprise cloud apps like Microsoft 365 and Salesforce using Python, Go, and cloud-native tools.
Senior Backend Engineer builds and maintains scalable SaaS security systems in Python/Go, designing APIs and multithreaded services for enterprise threat detection and breach prevention.
Designs and builds secure, scalable backend services and REST/GraphQL APIs in Java/Spring Boot, and integrates agentic AI workflows using LLM frameworks for automation and decision support.
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