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 Kubernetes-based runtime and control plane for multi-agent AI systems, ensuring secure, durable execution and observability for Paradigm’s applied-AI infrastructure.
Build and ship AI agents and open-source tooling to automate workflows at a crypto-focused investment firm, focusing on Slack interfaces, extensibility, and harness integration.
Build and maintain AI-driven automation workflows for document processing, data extraction, and operational tasks using LLMs and agentic systems in a fintech environment.
Develops and integrates AI solutions (generative AI, agents, workflow automation) to optimize EMCOR’s construction/energy infrastructure operations, collaborating with business teams to implement secure, scalable AI tools while ensuring compliance with governance and security standards.
Senior AI Engineer builds and deploys AI models for a fintech firm’s transformation, turning concepts into production solutions with cross-functional teams.
Build backend systems in Go and frontend features in React/TypeScript to power AI observability, normalizing telemetry from diverse ecosystems into OpenTelemetry models for cost analysis and anomaly detection.
Build and scale AI pipelines that generate, evaluate, and optimize interactive ad creatives using LLMs, VLMs, and multimodal models to boost engagement and conversions for global apps and games.
Remote | Must be in LATAM | Part-Time, potential Full-Time or Side Gig About Futureproofing Futureproofing is a talent platform focused on embedding high-caliber engineers into startups building real AI-driven…
About Us First impressions matter. TaskRay is on a mission to ensure businesses get off to a great start with a flawless customer experience once the opportunity is marked Closed Won. TaskRay is the leader in post-sale…
Designs and deploys secure, explainable AI systems for high-stakes environments by translating customer needs into safety-first technical plans.
Build and deploy LLM-powered multi-agent systems using Google ADK or LangGraph, focusing on RAG, tool use, orchestration, and production-grade reliability.
Designs and builds scalable machine-learning systems on Google Cloud, collaborating with data scientists and engineers to deploy AI solutions and MLOps platforms for enterprise clients.
Principal AI Engineer builds and deploys production-grade agentic AI systems for Mastercard, focusing on multi-agent orchestration, tool integration, safety, and reliability across fintech and AI domains.
Develops AI agents and LLM-based services to enhance trading systems within a bank's Financial Markets division, focusing on RAG pipelines, agent workflows, and financial domain integration.
Build and ship full-stack features and LLM-powered tools for an AI-forward school platform, working directly with founders and senior engineers in Austin.
Trainee AI Engineer program teaching Python, AI models, and cloud certifications to prepare entry-level candidates for AI/data roles with job placement support.
Entry-level AI Engineer role focused on developing AI applications using Python and Azure AI tools, with training and certification support.
Lead a team building cloud-native AI and big-data services for Equifax’s fintech products, using Java/Spring Boot, GCP, Kubernetes, and Apache Beam.
Build and deploy AI agents using LangChain/LangGraph on GCP, leading a team to architect cloud-native, scalable systems and mentor engineers while integrating cutting-edge LLMs and MLOps practices.
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