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Build and deploy LLM-based AI agents, RAG pipelines, and vector databases to automate workflows and boost engineering productivity using Python, LangChain/LangGraph, and cloud platforms.
The role involves managing critical information infrastructure (CII) security, including compliance, threat modeling, and auditing within Sberbank. The expert will develop Python-based automation tools and leverage LLM technologies to streamline regulatory analysis and security processes.
This role involves designing and deploying AI-powered applications, including agents, copilots, and RAG solutions, using frameworks like LangChain and Python. The engineer will integrate these AI systems into enterprise environments and contribute to best practices for AI development.
Представь IT-аутстаффинг, в котором ты строишь мосты между наукой и продакшном. В нашей компании Decart IT мы создаем условия, чтобы твоя экспертиза работала на полную мощность. Мы берем на себя всю логистику:…
Senior Python developer builds and scales a SaaS API platform that synchronizes financial and business tools, using Python, FastAPI/Flask, and SQL.
Python Developer in Warsaw building financial-sector software using Python, FastAPI/Flask/Django, SQL, Pandas, Git, and CI/CD pipelines.
Builds and scales Python-based backend systems using Flask, FastAPI, and microservices on GCP, focusing on clean code, performance, and algorithmic optimization.
Full Stack Developer on Decathlon's Data Factory platform, building and maintaining front-end and back-end components for a Lakehouse-based modern data stack on AWS/GCP, using Python, Java, or JavaScript/TypeScript with React/Angular/Vue and Spring/Django/Flask.
The Python Developer will build and maintain an AI-powered sales bot for the insurance industry, focusing on secure integration with backend Java systems. The role requires strong expertise in security protocols, API development, and AI agent frameworks.
Build and maintain a Python-based AI sales bot for car insurance, integrating with Java backends and external APIs while ensuring secure, auditable transactions.
Designs, builds, and maintains Python-based backend systems, APIs, and microservices for enterprise clients using Django or Flask and cloud platforms.
A Junior/Mid Python Developer working hybridly in Warsaw, building and integrating APIs using Python (FastAPI/Flask/Django), SQL, and data processing tools like Pandas on a B2B contract.
Sia is seeking a Senior Backend Engineer to develop AI-powered SaaS solutions using Python, microservices, and cloud infrastructure. The role involves integrating machine learning models, managing databases, and collaborating with cross-functional teams in an onsite Mumbai environment.
Andersen Lab is seeking a Python Developer to maintain and support web applications, perform data analysis, and optimize internal business processes. The role requires strong proficiency in Python, Kubernetes, and data libraries, along with professional fluency in both English and German.
Senior Python backend developer building and maintaining APIs and applications for a credit-market fintech, working with Python (Django/FastAPI/Flask), PostgreSQL, Redis, Docker, and AWS in São Paulo.
Reference: CPT005156-JB-1 Ready to join an entrepreneurial start-up company that deals with international clients? My client is looking for a Senior Python Developer for a remote opportunity! Someone who is proactive…
Build and lead the Manufacturing Execution System (MES) that powers Freeform’s AI-driven metal production factories, integrating quoting, scheduling, production, and quality control with full part traceability.
Build and scale an AI-native manufacturing platform that integrates quoting, production, and delivery for industrial-scale 3D printing, using Python/Go/Java and React/Next.js.
Build and maintain a full-stack enterprise platform that integrates Freeform’s factories, from quoting to production to delivery, handling large-scale data and ensuring end-to-end traceability.
Intern developing end-to-end AI and data-centric software solutions to enhance operational efficiency of AMD CPU/GPU product development, using Python, SQL, and ML frameworks in a cloud-based production environment.
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