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.
Leads cloud data/AI platform operations for phData’s managed services clients, ensuring reliability, automation, and incident resolution across Snowflake, AWS/Azure, and Anthropic workloads. Focuses on cross-functional collaboration, documentation, and AI-assisted troubleshooting to deliver high-value solutions.
The Technical Delivery Manager leads client technical teams in designing and implementing modern data platforms using technologies like Snowflake, AWS, and Azure. This role involves managing project delivery, fostering client relationships, and coordinating cross-regional teams to ensure successful, high-quality outcomes.
The Applied AI Solutions Architect leads the design and implementation of production-ready agentic AI solutions for enterprise clients. The role involves building reusable AI accelerators, establishing technical standards, and collaborating with cross-functional teams to deliver high-impact AI/ML projects.
Build and operate the agent-first platform infrastructure that powers Snorkel AI’s products, including event-driven pipelines, governance systems, and distributed services using Python, AWS, and observability tools.
Senior, client-facing data engineer at a small venture-backed data & AI company: you design and ship the data platforms, scalable/secure pipelines, data models, and streaming systems the company sells, working directly with the CEO and clients. Core stack: Snowflake/BigQuery/Databricks, dbt, Kafka/Flink, AWS/GCP.
Software Engineers on Scale AI's Public Sector team build backend systems and agentic capabilities (guardrails, data retrieval, agent orchestration) that ingest and process federal datasets for real-time decision-making. The role spans full-stack development, cloud-native infrastructure, and LLM/RAG integration for U.S. government customers.
Data Engineer at a venture-backed healthcare AI startup in London, owning the production data infrastructure behind a healthcare intelligence platform. Day to day involves building ETL/ELT pipelines with Python and SQL, using LLMs and AI APIs for data extraction and validation, and taking projects from concept to production.
Lead Data Engineer (first senior data hire) at an AI start-up in London building an intelligent automation platform for B2C services. Day to day: design batch and real-time data pipelines, vector search and ML data infrastructure using Python, PostgreSQL/NoSQL, Kafka, Spark, and Airflow, while mentoring engineers and shaping data architecture.
Lead data engineer at an early-stage AI product company in London: you own the data architecture and technical direction, building batch and real-time pipelines plus vector search and ML data infrastructure. Core stack includes Spark, Airflow, Kafka, and Elasticsearch/OpenSearch.
Fin is hiring a Senior Full-Stack Engineer for Team Web to build intuitive front-end experiences and scalable backend systems for its website across web and mobile, collaborating with marketers, designers, and engineers. The role needs 8+ years of full-stack experience with expert JavaScript/React, plus CI/CD, cloud infrastructure, and analytics skills. It is hybrid in London, UK.
Senior/Staff/Principal Data Engineer at a well-funded AI company in London that builds environments for training AI agents. You own the full lifecycle of data systems — ingesting and processing large, unstructured datasets into secure training data — from architecture through production, on a stack-agnostic platform.
Full stack product engineer at Maze, a well-funded startup using generative AI to solve cybersecurity problems. You own features end-to-end—React/TypeScript UI, Python/FastAPI REST APIs, and database layer—working autonomously at startup speed. Remote within Europe.
A project manager at an AI-first Zoho consulting firm who runs client technology engagements end to end — planning in Zoho Projects, owning budget, risk, change control, and governance cadence, and managing the client relationship from kickoff through close-out. Requires PRINCE2 Practitioner and 5+ years of client-facing tech delivery.
Lead the physical layout of complex, high-speed multilayer PCBs for Cerebras's AI hardware — owning placement, stackups, routing, and fabrication/assembly release using Cadence Allegro. Focuses on signal/power integrity, dense BGA/HDI routing, and DFM through production. Requires 10+ years PCB layout experience.
A 3-month paid internship at Nebius AI Cloud for students and early-career candidates: you'd help design and document AI/ML solutions for customers, learn how distributed training and inference run on large-scale multi-GPU infrastructure, and build demos, tutorials, and technical materials using Python and ML frameworks like PyTorch.
Senior Data Engineer at Agilisium (life-sciences-focused AI services) designing and optimizing scalable batch and streaming data pipelines and lakehouse platforms on AWS. Core stack: Python, SQL, PySpark, Databricks, and AWS services like S3, Glue, EMR, Redshift, Athena, and Lambda, in a hybrid in-office setting in Saidapet, India.
A senior data engineer building scalable ETL/ELT pipelines for life-sciences and biomedical data (genomics, clinical trials, research) using PySpark, Databricks, and SQL on cloud platforms (AWS/GCP/Azure). Day-to-day involves pipeline development, data modeling and governance, data quality checks, and data lake/warehouse work with tools like Snowflake, Redshift, and Synapse.
Despite the 'Senior Fullstack Developer' title, this is a data engineering role: the person designs, builds, and optimizes scalable batch and streaming data pipelines and lakehouse platforms on AWS using Python, SQL, PySpark, and Databricks, supporting analytics and AI-powered products in a hybrid, agile setting.
Senior Data Architect role (10–18 years experience) at Agilisium in Saidapet, India: designing scalable cloud/hybrid data architectures, building pipelines and analytics with Databricks and Apache Airflow, using SQL and Python, ensuring data governance, and mentoring teams — hybrid work with strong in-office presence.
Remote senior architect role defining the technical vision for cloud-native, AI-driven SaaS products: setting architecture standards (microservices, event-driven, API-first, multi-tenancy), leading LLM/RAG and agentic solution design, running architecture reviews, and mentoring engineering teams.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
