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.
The Senior Software Engineer will design and maintain scalable web applications and RESTful APIs using Python, FastAPI, and React. The role involves collaborating within a squad to build data-driven solutions while exploring Generative AI technologies to enhance development productivity.
Lead the engineering efforts of an 'Agentic Factory' team, designing and deploying production-grade GenAI/ML solutions, multi-agent workflows, and MLOps pipelines on GCP/Vertex AI with hands-on Python development and team mentorship.
Build and deploy scalable ML pipelines on AWS and Databricks, leading a team to integrate generative AI models and APIs for healthcare analytics.
Builds AI-native engineering software for X-energy’s Xe-100 nuclear reactor project, focusing on agentic workflows, data integration, and cloud-native platforms to accelerate regulated workflows.
Builds AI-native engineering software for nuclear reactor development, focusing on agentic workflows, data integration, and cloud-native platforms to accelerate workflows and ensure regulatory compliance.
Build and maintain data pipelines in a hybrid role, assisting with ingestion, transformation, and automation using tools like Kafka, Spark, and Kubernetes at an aerospace/defense company in Puerto Rico.
Build and deploy generative AI features and full-stack apps to modernize Barclays’ platform, using Python/Java, cloud-native tools, and enterprise-grade security.
Senior Python Developer building automation frameworks, REST APIs, and backend services for telecoms and network operations using Python, Flask/FastAPI, Docker, databases, and CI/CD in a hybrid role.
Build and maintain backend services and integrations for Morgan Stanley's Chat With Your Data (DaiZy) GenAI solution, using Python, LLMs/RAG, and Snowflake in a microservices architecture.
Designs AI-driven systems to monitor and optimize Disney’s global streaming ecosystem (Disney+, Hulu, ESPN) by building real-time telemetry pipelines, agentic models, and observability tools for reliability and performance.
Design and build scalable AI/ML systems at Nike, leveraging prediction models and generative AI to drive data-driven business decisions and optimize corporate functions.
Lead AI/ML Engineer at Nike owning end-to-end ML and generative AI solutions for corporate functions, from design through production, using Python, AWS (SageMaker, Lambda), and MLOps practices.
At F5, we strive to bring a better digital world to life. Our teams empower organizations across the globe to create, secure, and run applications that enhance how we experience our evolving digital world. We are…
This senior full-stack role involves building and maintaining agentic-first software systems where AI agents draft code based on specifications you write. You will work across a Python/FastAPI and React stack, managing Kubernetes-based LLM infrastructure and CI/CD pipelines in secure environments.
The DevOps Engineer III will develop and maintain CI/CD pipelines and full-stack data applications to support vehicle validation data systems. The role involves collaborating across engineering teams to improve software delivery, system performance, and observability using Python, JavaScript, and container technologies.
The Platform Engineering Lead will design and deploy scalable data and AI solutions for financial services, focusing on document processing, intelligent agents, and automation frameworks. The role involves leading cross-functional teams, establishing reusable data architecture patterns, and ensuring responsible AI practices using technologies like Python, Spark, and Databricks.
The Data Engineering and Development VP will lead the design and deployment of AI-driven data solutions and automation frameworks for financial services. The role involves architecting scalable data models for fund accounting and custody domains while mentoring teams in Python, Spark, and generative AI technologies.
Designs and builds LLM-powered security tools and platforms for threat hunting, cyber analytics, and security operations at RBC, integrating frontend (Vue.js) and backend (Python/Django/FastAPI) systems.
Intern supporting full-lifecycle applied AI projects—from client discovery and strategy to building AI workflows using n8n, Make, Zapier, and Python with LLM APIs—at a Boca Raton AI consulting firm.
Analyze intercepted electronic signals to produce actionable intelligence for national security, using SIGINT tools and AI/ML pipelines to process and validate data.
We couldn't check your fit for this role — add a CV to your profile to see it next time.