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.
ML/Backend Engineer owning the intelligence layer of a real estate analytics engine — building ETL pipelines, knowledge graphs, RAG/LLM retrieval systems, and backend APIs that surface insights to investment teams.
Working with Us Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens…
Assist in designing and implementing cloud-based and AI-powered solutions (RAG, chatbots, copilots) for enterprise clients using Azure, AWS, and GCP, collaborating with senior architects on workshops, POCs, and technical proposals.
Build and operate the AI engine behind root cause analysis for an enterprise platform — owning the vector database (pgvector), embedding pipelines, RAG retrieval layer, Claude-based prompt engineering, confidence scoring, and evaluation frameworks using Python, FastAPI, and Pydantic.
Lead red team engagements and adversary emulation exercises against WellSky's enterprise systems, cloud environments, and applications using offensive tooling like Cobalt Strike, Burp Suite, and Metasploit, while collaborating with detection engineering.
Senior backend engineer designing and operating distributed, high-availability services for cryptographic asset monitoring (PKI, certificates, mTLS) at Salesforce, using Go/Java/Python/Rust, cloud platforms, and an AI-first development workflow.
The Information Systems Data Analyst will partner with departments to build dashboards, configure business systems like Workday, and enable teams to use AI tools for operational analysis. The role focuses on data modeling, system optimization, and coaching staff on data literacy and AI-assisted workflows.
1. AI/GenAI Platform Delivery & Technical Program Management Lead the technical planning and delivery of enterprise AI, Gen AI, Data Lake, Analytics, and Cloud platform initiatives. Define technical workstreams,…
Designs and builds autonomous AI agents that plan, reason, and execute multi-step tasks using Python and modern AI frameworks.
Staff AI Solutions Engineer building and deploying scalable AI/ML and GenAI solutions (RAG, LLM orchestration) across onsemi's business functions, using Azure ML, LangGraph, MLflow, and enterprise integrations.
Lead software engineer designing and deploying agentic AI applications (e.g., LangChain, AWS Bedrock) in a cloud-native, microservices architecture on AWS, focusing on autonomous reasoning, tool-use, and production-grade scalability while driving AI-assisted engineering practices across a fintech team.
Lead Data Engineer at JPMorgan Chase builds and maintains scalable data pipelines, architectures, and AI/analytics solutions for Treasury & Corporate Risk Management, ensuring data quality, security, and governance while driving innovation through AI-assisted tools and cross-functional collaboration.
Data Engineer building and maintaining data pipelines and analytics solutions for AI initiatives in Corporate Technology supporting CIO, Treasury & Corporate Risk Management, using Python, SQL, Spark, and Databricks.
Required Graduation Period : 2025.6.1 - 2027.8.31 Description: At P&G, we use data and technology to solve challenges range from developing creative products, personalizing consumer experiences, go-to-market…
Build and scale the AI-powered backend for Fynn, Kikoff’s credit coach, integrating LLM workflows, personalization, and debt-negotiation tools to deliver real-time financial guidance to millions of users.
This role is for an AI Application Developer to build and deploy Agentic and Generative AI solutions within the banking sector. The developer will work with LLMs, orchestration frameworks like LangChain, and cloud-native technologies to create intelligent, context-aware applications.
Develops AI/ML agents, tools, and services to analyze wireless/cellular performance issues for Apple devices, improving user experience through automated debugging and system evaluation.
An Applied AI Engineer at MaintainX builds and optimizes document generation systems for an AI-powered maintenance platform, designing prompts, creating evaluation datasets, and ensuring quality for multimodal document processing.
Build and maintain cloud-native data pipelines on GCP for an aerospace client, designing Medallion-architecture solutions and ensuring data quality and governance.
DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly…
We couldn't check your fit for this role — add a CV to your profile to see it next time.