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Stagiaire Développeur(se) - Applications augmentées par l'IA (H/F)
Six-month final-year internship at CMA CGM's Marseille HQ in the Shipping IT team: take ownership of an existing AI-augmented application used by business teams and evolve it end to end, building LLM features (assisted analysis, RAG, conversational assistants) with TypeScript/JavaScript and/or Python, REST APIs, and React.
Senior Software Engineer Python GCP FastAPI
Senior Software Engineer / Lead Developer at a well-funded, profitable FinTech start-up in London (with WFH options), blending technical leadership — guiding a talented team — with hands-on engineering in Python on Google Cloud Platform using FastAPI. Salary up to £120k.
Chief Engineer - Artificial Intelligence
Hands-on AI engineering leadership role at a medical education technology company in Hyderabad: defines AI strategy and architecture, takes LLM, RAG, and agentic AI systems from concept to production, and mentors AI engineers. Core stack includes Python, FastAPI, LLMs, vector search, and AWS.
Senior Technical Manager - System Design
Lead engineering teams at a medical education technology company serving MBBS and NEET PG learners: define system architecture and standards, drive end-to-end delivery, and implement GenAI/LLM/RAG solutions. Core stack is Python/FastAPI, React/Next.js, and cloud (AWS/Kubernetes preferred).
Python-разработчик
Python developer for the HRTech team at SOGAZ, building high-performance internal services using FastAPI, PostgreSQL, and RabbitMQ. Responsibilities include architectural design, API development, and implementing monitoring with Prometheus and Grafana.
Python Developer
Onsite Python developer in Korba, Chhattisgarh building ML/AI solutions for an industrial group: predictive, forecasting and anomaly-detection models, RAG chatbots, AI agents, and data pipelines from SAP, OSI PI and IoT plant systems, deployed as APIs with MLOps. Stack spans Python, FastAPI, LangChain, scikit-learn, PyTorch and SAP integrations.
ENGENHEIRO DE DADOS EM IA (PJ)
Data engineer role focused on AI: builds data pipelines (ETL/ELT, Airflow, dbt, ClickHouse, Data Warehouse/Lake) and integrates generative AI (RAG, prompt engineering, LangChain, vector databases) using Python, SQL, PostgreSQL, Docker and REST APIs. PJ (contractor) position in Fortaleza, CE.
AIML Architect
Designs and governs end-to-end enterprise AI architectures spanning Generative AI, Agentic AI, RAG and ML — defining reference architectures, MLOps/LLMOps standards and Responsible AI governance while mentoring delivery teams. Core tech: LLMs (Azure OpenAI/OpenAI/Bedrock), LangChain/LangGraph, vector DBs, Python/FastAPI on Azure/AWS/GCP.
Associate Software Architect - Agentic AI Solutions
Designs and hands-on builds production-ready agentic AI systems: LLM-powered autonomous agents, multi-agent orchestration, and RAG pipelines, plus the Python backend services (FastAPI/Flask/Django), microservices, and cloud deployment (AWS/Azure/GCP with Docker/Kubernetes) behind them. A senior architecture-plus-coding role for engineers with 10+ years' experience.
Senior Software Engineer
Senior engineer who leads architecture and development of scalable web applications: React/TypeScript frontend with Python/FastAPI backend, building REST APIs and microservices on Azure. Also fixes performance bottlenecks, maintains code quality and automation, and mentors junior developers.
Full-Stack Software Engineer (Next.js & Python/FastAPI)
Full-stack engineer at a Malaysian startup building healthcare management and patient engagement platforms. Spends ~70% of time developing with Next.js/TypeScript and Python/FastAPI (APIs, payments, PostgreSQL) and ~30% on DevOps: Linux VPS, CI/CD, deployments, and monitoring, reporting to the CTO.
Senior Full-Stack Python Developer For Healthtech
Senior fullstack engineer with a strong React/TypeScript frontend focus, building an internal Customer Experience Operations Platform (queues, agent workflows, dashboards) for a fintech client via Darwoft, a LATAM software factory. 100% remote in LATAM, with heavy use of AI coding agents and micro-frontend architecture (Rspack, Module Federation).
Hybrid Backend Engineer - Python & Data Pipelines
Junior backend engineer at Krunchbox, a retail analytics platform, building backend services, data ingestion pipelines, and APIs with Python and FastAPI, while contributing to cloud infrastructure and CI/CD. Open to recent grads or 1-3 years of experience; hybrid role based in Santiago, Chile.
Senior Software Engineer / Software Architect
CTO-level, hands-on software architect role in Ale, Sweden: design and build greenfield multi-tenant SaaS platforms spanning fintech, proptech, AI and blockchain using TypeScript/React, Node.js/Fastify, PostgreSQL, AWS (Bedrock), Claude API and Ethereum tooling, while leading globally distributed engineering teams.
Python Fullstack Developer
Lead full-stack engineer building and scaling secure, low-latency enterprise web applications: React/TypeScript on the frontend, async Python FastAPI microservices on the backend, PostgreSQL/MongoDB data layers, and Docker/Kubernetes deployments on AWS/GCP, while mentoring the team.
Agentic AI Engineer
Designs, builds, and deploys production-ready agentic AI systems — single- and multi-agent LLM applications with LangChain/LangGraph, RAG pipelines, and FastAPI/Flask backend services, primarily on Azure. Focus areas include agent orchestration, evaluation, observability, security, and cost optimization.
Python-Backend Developer
Backend developer building scalable Python services: designs RESTful APIs with FastAPI, works with PostgreSQL (query tuning, JSONB), implements auth/validation, writes tests, and supports Docker/CI-CD deployments. Core stack is Python 3.8, FastAPI, Pydantic, PostgreSQL, Git, Docker, JWT/OAuth, and Pytest.
AI/ML Engineer: System RF Data Ecosystem
Senior AI engineer on Apple's System RF Smart Data Ecosystem team, architecting and deploying internal generative-AI and multi-agent systems that automate hardware engineering tasks and analyze wireless design/manufacturing data. Core stack: Python (async), FastAPI/Flask, agent frameworks (MCP, A2A), and multi-provider LLMs.