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.
Build and maintain the data pipelines and retrieval layer that power Mirai’s Generative AI products on AWS, including vector stores, embeddings, and governed datasets.
Build and deploy AI-powered applications using LLMs, vector databases, and RAG pipelines. Integrate models with APIs and scale data pipelines for large datasets.
Build and automate OpenSearch/Elasticsearch operations and data-platform features in Python, ensuring fault-tolerant replication, TLS, and installation for enterprise deployments.
Build and improve AI-powered financial research tools using LLM, RAG, vector search, and agentic workflows for a market intelligence platform.
Build secure APIs, dashboards, and AI-powered financial research tools for a market-intelligence platform, integrating market data and collaborating with engineers, analysts, and product teams.
Build and maintain cloud-native AI and web apps using AWS, React, NextJS, Java, NodeJS, and Python; collaborate with architects on scalable microservices.
Leads quality engineering for an enterprise AI platform, building test frameworks for Agentic AI workflows and LLM-based systems using Python, Java, and modern CI/CD stacks.
Design and operate PostgreSQL clusters and vector search systems to power Kraken’s crypto exchange and AI features, focusing on performance, reliability, and automation.
Lead software engineer designing, building, and maintaining scalable Java/Spring applications with distributed systems and cloud technologies.
Build and maintain Python microservices on AWS with Kubernetes, occasionally contributing to Node/TypeScript services or React frontend.
Build and maintain scalable back-end services for a fintech platform using Java, Spring Boot, Kafka, and databases like Postgres and Cassandra.
Design and operate scalable AWS-based data pipelines and platforms to power analytics and AI products, using Python, Scala, Spark, and Flink.
Build and maintain observability platforms for cloud-native and AI-assisted systems, focusing on Kubernetes, telemetry, and runtime monitoring of AI workloads.
Build and maintain observability platforms for cloud-native and AI-assisted systems, focusing on Kubernetes, Prometheus, Grafana, and OpenTelemetry to monitor AI workloads and agentic services.
Lead the reliability engineering for a web app: deploy, scale, and harden Linux-based infrastructure, set up CI/CD, and ensure SLA/SLO compliance.
Lead architecture and development of secure, scalable healthcare platforms integrating AI models, multi-modal databases, and real-time data pipelines for clinical insights.
Build and run a high-throughput messaging platform on AWS: automate CI/CD, secure infrastructure, and write production code in Node.js/Python while leveraging AI tools.
Administers AWS EKS clusters, automates infrastructure with Terraform, and manages CI/CD pipelines to ensure secure, high-performance cloud delivery.
DevOps Engineer maintains and improves cloud infrastructure, CI/CD pipelines, and Kubernetes clusters for an astronomy research organization, using Python/Go, Docker, and monitoring tools.
Senior AI and Data Cloud Architect designs enterprise-grade AI, analytics, and cloud solutions on Azure, AWS, and GCP, guiding clients through cloud transformation and AI adoption.
We couldn't check your fit for this role — add a CV to your profile to see it next time.