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.
Own AI-focused data platform features from PRFAQ to launch, partnering with engineering and GTM to ship vector search, RAG, and agent frameworks for enterprise customers.
Principal Product Manager owns AI-focused features for Couchbase’s operational data platform, driving strategy, roadmaps, and launches for vector search, RAG, and agent frameworks while collaborating with engineering and GTM teams.
We are looking for a highly experienced Senior Data Scientist to lead the design, development, and implementation of advanced Artificial Intelligence, Generative AI, and Machine Learning solutions . The successful…
Build and extend AI-driven marketing workflows and interfaces using TypeScript, React, Next.js, and Python; own multi-tenant features, streaming UIs, and LLM orchestration in a product that powers enterprise martech.
Build and operate D-Wave’s internal AI platform, integrating LLM tools, CI/CD pipelines, and cloud services to automate workflows and accelerate quantum-computing development.
Job Summary We are seeking an experienced Data & Integration Engineer to join our enterprise data team supporting next-generation Generative AI (GenAI) initiatives. This role sits at the intersection of system…
Own the end-to-end retrieval pipeline for a private research corpus, building RAG systems that ingest, chunk, embed, search, rerank, and cite documents with provenance.
About Us Meraki Labs (founded by Mukesh Bansal & Peeyush Ranjan) builds and rapidly scales AI-first, "moonshot" startups. We're looking for a high-velocity, production-grade engineer to build 0-to-1…
Design and build AI-powered data architecture and agents for enterprise analytics, using Python, Snowflake, DBT, and LLM frameworks to deliver trusted, scalable data products.
Build and optimize scalable data pipelines and AI-ready systems, including vector search, RAG, and retrieval pipelines, using Databricks, Spark, and Python.
Role Overview We are hiring a hands-on engineer with strong capabilities in data pipelines and applied AI (GenAI) to build and support our AI-driven platform and Datalake platform. Key Responsibilities Own the…
Key Responsibilities - Model Complex Banking Data in Neo4j: Design and implement graph data models representing customers, accounts, transactions, devices, and their interconnected relationships. - Apply Graph Data…
Through proprietary software and AI, along with a focus on customer delight, Sleek makes the back-office easy for micro SMEs.We give Entrepreneurs time back to focus on what they love doing - growing their business and…
Build and maintain enterprise-scale data pipelines and AI solutions using SQL, Python, Databricks, and Azure services to power analytics and generative AI for a real-estate-focused company.
Build and scale enterprise AI applications for aviation using React/Next.js, Python/FastAPI, and Azure OpenAI, integrating LLMs and deploying on AKS.
Build and maintain the backend systems that power an AI assistant, focusing on inference pipelines, orchestration, and reliable APIs for multi-step workflows.
Build and own the backend architecture for real-time AI assistants used in malls, airports, and stadiums, using Python, Django, and cloud services.
Build and deploy ML models for creator discovery, campaign forecasting, and audience insights in the creator economy, using Python, PyTorch/TensorFlow, and Azure.
Designs AI agents and automation workflows to streamline business processes, improve reporting, and enhance data quality using tools like Power BI, ChatGPT, and Microsoft Copilot Studio.
Build and scale AI-powered analytics tools for EA’s game studios using LLMs, GCP, and cloud-native pipelines to deliver player insights across titles like EA SPORTS FC™ and Apex Legends™.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
