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.
Builds and scales Freeflo’s AI-powered WhatsApp booking/payment agent by writing Python backend code, designing serverless AWS infrastructure, and integrating LLMs into production workflows.
Staff Engineer for Applied AI builds and owns AI-driven solutions across business domains (e.g., Operations, Marketplace) at a collectibles tech company. Focuses on hands-on development, portfolio-level impact, and scaling AI systems for production use while mentoring peers and shaping team-wide patterns.
Builds and deploys AI solutions end-to-end by embedding with business teams to identify high-value problems, prototype fast, and measure business impact using tools like Claude/OpenAI.
Leads AI system design and productionization for internal workflows, focusing on agentic AI, orchestration, and reusable patterns to improve enterprise efficiency and customer outcomes.
Distinguished AI Engineer (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning…
Lead an engineering team building next-generation AI agents within AWS Applied AI Solutions, shaping roadmaps and delivering end-to-end AI-powered solutions for hybrid work.
We are seeking a Senior AI Engineer to lead the design and delivery of complex AI solutions across our enterprise data platform. You will define technical standards, mentor junior engineers, and act as a key bridge…
Designs and builds cloud-native and agentic AI solutions on AWS, integrating LLMs, RAG, and automation to enhance enterprise applications and user experiences.
Design and develop AI-powered applications, agentic workflows, and intelligent search systems using LLMs, RAG, and cloud-native platforms as part of Altera's Quartus AI team.
Designs, builds, and evaluates AI agents and LLM-powered systems (RAG pipelines, tool-use workflows) using Python to automate multi-step research and clinical-support tasks at a medical center.
Lead the operational reliability, observability, and incident response for M&T Bank's AI platform, managing a team of 5-10 engineers using Azure infrastructure, Terraform, OpenTelemetry, and Python/Bash scripting.
Manages engineering teams building and operating M&T Bank's enterprise AI platform (Azure API Management gateway, Azure AI Foundry), overseeing platform strategy, reliability, vendor oversight, and regulatory compliance.
Lead AI Engineer driving the Vulnerability Management AI strategy and building AI/ML-powered solutions for vulnerability discovery, prioritization, and remediation at Swift, using platforms like ServiceNow, Tenable, Qualys, and Rapid7 in a hybrid Manassas, VA role.
Leads AI-driven software development for healthcare tech, integrating NLP, computer vision, and generative models into scalable systems while mentoring engineers and driving AI-first strategies.
Build, deploy, and continuously improve production AI features (search, personalization, content generation, copilots) on Microsoft Foundry/Azure AI, grounded in Microsoft Fabric/One Lake data, while establishing MLOps practices and mentoring junior engineers.
Design and develop Agentic AI applications using LLMs, Neo4j, Knowledge Graphs, and GraphRAG in Python on a 6-month remote contract.
Design, build, and operationalize LLM-powered applications, RAG systems, and intelligent agents for automotive industry use cases, spanning full-stack development from prototype to production using Python, React, cloud AI platforms, and vector databases.
The Principal AI Software Engineer will architect enterprise-grade AI solutions, integrating LLMs, RAG, and agent workflows into high-availability systems. The role involves leading cross-functional teams, setting technical standards for AI development, and optimizing performance and costs across cloud-based infrastructure.
Develop AI and computer vision algorithms for medical imaging and image-guided surgical robotics, including deep learning model design, training, and deployment in a regulated medical device environment.
Lead the technical and architectural design of in-house applications for US Regulatory Reporting at RBC, focusing on AI/ML frameworks (LangChain, LlamaIndex, MCP servers), cloud-based microservices, and big data processing to automate reporting workflows.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
