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Founding AI Engineer (second engineering hire) at Plato, a Hexa-backed startup building an AI operating system for litigation lawyers. Day to day you design agentic workflows and document-processing pipelines and turn AI experiments into reliable production features using TypeScript, Node.js, React, AWS, Mastra and Postgres.
Middle Project Manager at BotsCrew, an AI software company, managing delivery of AI assistant/chatbot projects: running Agile processes, owning backlogs and requirements, tracking scope, budget, and risks, and communicating with clients and cross-functional remote teams. Core tools and skills: Agile (Scrum/Kanban), JIRA, Confluence, stakeholder management.
Comand AI is hiring a fullstack product engineer in Paris or London to own features end to end on Prevail, its defence operational planning (C2) platform. Day to day is heavy front-end work in TypeScript/React, Python/FastAPI backend, plus geospatial (PostGIS, tile servers) and ML/LLM orchestration with LangGraph/LangChain, designed for on-prem and constrained deployments.
Applied Scientist building production Generative AI features across Cloud and Edge: optimizing local inference via model compression/quantization and engineering scalable RAG and multi-agent systems. Day to day covers hypothesis-driven research, synthetic data generation, SFT/RLHF/DPO fine-tuning, evaluation and technical reporting, largely in Python/PyTorch/Hugging Face.
Senior full stack engineer (individual contributor) designing and building end-to-end web applications with a Python/FastAPI backend and React.js frontend, integrating AI/ML features (NLP, LLMs) into production. Requires 7-10 years of experience, SQL/NoSQL databases, and cloud/containerization skills.
Hands-on lead full-stack developer building a Generative AI / AI-agent product for an automotive-industry client: Python backend, Angular frontend, AWS and Docker infrastructure. You set technical direction, mentor a junior developer, and consult directly with client stakeholders. Remote role at LITIT, an NTT DATA–Reiz Tech IT services joint venture.
Data Scientist at Noveo (custom software outsourcing) developing a multi-agent system for autonomous code writing based on LangGraph in the internal business-process automation department. Day-to-day work centers on Python, ML methods, LLM integration, LangChain/LangGraph, RAG, and neural-network fine-tuning; remote work with Intermediate+ English.
Hands-on senior engineer role building and productionizing LLM-powered agents and the services/APIs around them on a data + automation team, owning code from commit to production on AWS with IaC and CI/CD. Core stack: Python, Node/TypeScript, Terraform/CDK, RAG, and Databricks.
Principal AI Engineer at Mirakl will own the AI tech strategy for a business domain (e.g. Sales/GTM or Finance & Legal), building production-grade LLM and agent systems, driving architecture decisions, adoption, and mentoring engineers. Stack: Python/SQL, OpenAI/Anthropic/Gemini/Mistral, LangGraph/LangChain/LlamaIndex, AWS or GCP with Docker/Kubernetes; Paris or Bordeaux, 4 days on-site.
Design and deploy AI/LLM models on FuriosaAI’s RNGD NPU using the Furiosa SDK, running POCs, benchmarks, and debugging for US customers while translating technical capabilities into business value.
Senior Security Engineer on HackerOne's Detection & Response team: designs detection-as-code coverage across cloud, SaaS, endpoints, and identity, builds AI/LLM-powered automation for investigations, and leads incident response. Core stack: Python/Go/Ruby, AWS, Datadog/Splunk/ELK, SentinelOne/CrowdStrike; remote role targeting US metro areas.
Project – the aim you’ll have We are looking for an AI Solutions Architect to join our team and work on the design and delivery of advanced AI-driven solutions for our clients, with a strong focus on Generative AI. Our…
VMA in Sint-Martens-Latem, Belgium is hiring a Senior AI Agent Engineer to design, build, and productionize AI agents using LLMs, LangGraph orchestration, and RAG, with a strong focus on reliability, evaluation, and security. The role requires solid Python/software engineering experience (~5-8 years) and ML work with PyTorch.
Forward/field deployment engineer at Parallel, a startup building AI agents to automate healthcare admin (starting with medical coding). You technically lead end-to-end on-site deployments at healthcare facilities, adapting the platform to their IT constraints and integrations. Core stack: Node.js/TypeScript (NestJS, Prisma, Postgres), React, and LLM/agent tooling.
A full stack engineer in Doha providing L2 support for enterprise AI applications (chatbots, assistants, automation), troubleshooting LLM APIs and data pipelines, and integrating vendor-delivered AI solutions with enterprise systems. Core stack: Python backends (FastAPI/Flask/Django), modern JS frontends (React/Vue/Angular), and Azure services.
Build and fine-tune LLM-powered systems for The Economist’s AI Lab, focusing on editorial tone, retrieval workflows, and multimodal generation (text, audio) to shape future journalism products.
An AI Engineer in Almaty builds and ships LLM-based products — AI assistants, agents, RAG systems, and document-processing services — that automate business processes and integrate with corporate systems like CRM, ERP, and 1C. Core stack: Python, OpenAI/Anthropic APIs, LangChain/LangGraph, and vector databases.
Software engineer at ClearRoute, an engineering consultancy in Bengaluru, building reusable services, APIs, cloud-native platform capabilities on AWS, and AI-enabled workflows such as LLM integrations, RAG and agentic systems, alongside CI/CD, containers and infrastructure-as-code tooling.
Senior architect role with a data and cloud practice building enterprise data platforms and AI systems for large clients in the UK and Africa. Day to day: design Databricks Lakehouse environments, lead cloud migrations, drive Terraform-first IaC with secure network perimeters, and handle technical pre-sales using Databricks, GCP, Azure, Salesforce, and Anthropic.
Чем предстоит заниматься: Обеспечивать разработку, внедрение и развитие корпоративных решений на базе больших языковых моделей для автоматизации бизнес-процессов, повышения производительности сотрудников, улучшения…
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