Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
Senior engineer on Oversee's AI team building production-grade AI agents for corporate travel (AgentSee). Day to day: LLM agent orchestration, RAG pipelines, tool calling, and workflow automation on top of scalable Python backend services and large-scale travel data, working remotely from Poland.
A consultant designs and configures Atlassian Rovo-based AI agent workflows in Jira and Confluence Cloud: gathering requirements, generating user stories with acceptance criteria, and optimizing Jira workflows and automation, then handing stories off to GitLab Duo for AI-assisted development.
Join the founding team of iACT, an AI-powered VR training platform helping international talent practice life in Germany. You'd own the backend and applied AI architecture — Python APIs, auth, databases, and LLM/RAG and speech-service pipelines — as a founding engineer funded by the EXIST start-up grant.
NLP developer on Yandex's Alice LLM pretrain-quality team: they build high-quality pretraining datasets (web-sourced and LLM-generated synthetic data), design small-scale experiment setups and scaling-law studies, and support release trainings. Core stack is Python (C++ a plus), with strong ML/LLM expertise.
Traineeship in the Netherlands for (almost) graduates with no prior experience: an intensive program building Python, SQL, machine learning, and Power BI skills plus soft skills, after which trainees work at client sites solving data problems. Salary €2,700–€3,300 per month.
Remote (EU) Technical Project Manager leading an end-to-end prototype that links AI-powered agile planning in Atlassian Rovo (Jira, Confluence) with development workflows in GitLab Duo. Day to day: coordinating cross-functional teams, managing the planning-to-dev handoff, and tracking the AI-agent prototype delivery.
Build and deploy trustworthy, multi-agent AI systems that analyze sports performance data to provide calibrated, escalation-aware recommendations for coaches and athletes, using Python, Go, and AWS.
Build and ship production AI features—LLM agents, RAG pipelines, and streaming responses—into Collibra’s enterprise data governance platform, ensuring governed, secure, and compliant AI for global customers.
Build and deploy production-grade AI agents for enterprise sales coaching, using Python, agentic frameworks, and rigorous evaluation to improve real-time conversation simulations.
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.
LITSLINK is hiring a Senior LLM Engineer/Architect to design a production-grade, multi-stage LLM document extraction pipeline (extract → validate → deduplicate → verify), combining LLM-driven extraction with deterministic validation, RAG/hybrid search, and measurable evaluation frameworks. Full-time, remote, hands-on architecture role.
Staff engineer defines the AI platform’s architecture, APIs, and standards that multiple teams rely on to build and scale GenAI services reliably and efficiently.
Senior AI Product Engineer at Nscale in Singapore designs and delivers core AI services, APIs, and developer tools for a GenAI cloud platform, using Python/Go/TypeScript and cloud-native stacks.
Senior/Staff AI Engineer at Nscale in London building and optimizing distributed GenAI systems for training, post-training, evaluation, and high-throughput inference using Python, PyTorch, and GPU acceleration.
Medior AI Engineer at KPN (Corporate Insights & Analytics) designing and building generative AI and NLP solutions that make internal HR and Finance processes smarter, owning features from idea to production. Core stack is production-grade Python, Docker, and Azure, working hybrid between Rotterdam and Amsterdam.
Senior AI Engineer at Adlibris (Swedish online bookstore) who owns customer-facing AI: recommendations, relevance, personalization and agentic data products, taken from idea to production and monitored in production. Core stack is Databricks (MLflow, Model Serving, Feature Store, Agents) with Python.
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.
An onsite internship in Berlin at Almetra, an AI-first manufacturing software company. The intern supports customer onboarding: running onboarding cycles with internal tools, checking camera/vision input data quality, documenting edge cases, tracking success metrics, and improving processes and documentation. No ML background required.
Build and maintain AI agent systems and internal tooling to accelerate software delivery and enable teams at a profitable fintech company offering SME credit cards, spend management, and savings products.
AI Engineer in Madrid who owns AI/ML products and projects end to end — framing business problems, and designing and delivering machine learning systems and LLM-powered solutions in production. Core stack: Python (plus C++/Java/.Net), SQL databases, and Azure or AWS.
We couldn't check your fit for this role — add a CV to your profile to see it next time.