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 scale SentinelOne’s AI Gateway (Kong AI Gateway) to route, secure, and monitor AI coding assistant traffic, while operating self-hosted LLM inference stacks and LLMOps tooling across Kubernetes.
Build and scale SentinelOne’s AI Gateway (Kong AI Gateway) to route, rate-limit, and monitor AI coding assistant traffic, while operating self-hosted LLM inference stacks and LLMOps tooling across Kubernetes and AWS.
Lead a team to build enterprise-scale generative AI and agentic systems using LLMs, RAG, and multimodal pipelines for Mastercard’s Business & Market Insights group.
Design and deploy production-grade AI systems for clients, owning end-to-end architectures, prototypes, and technical standards while guiding engineering teams and advising on LLM stacks and cloud platforms.
Build and maintain Porch Group’s Agentic Platform: retrieval pipelines, remote agent deployment, MCP servers, and LLM evaluation on Python/TypeScript/Kubernetes/GCP, enabling AI across JVM-based services.
Build and architect agentic AI systems (RAG, tool-calling agents) in .NET/C# and Python, then enable WellSky’s engineering teams to adopt them via shared libraries, training, and CI/CD tooling.
Build and deploy AI-powered healthcare tools using LLMs, RAG, and multi-agent systems to improve senior care access and outcomes.
Build full-stack AI platforms integrating LLM workflows, RAG, and multi-agent systems using React, TypeScript, Python, and cloud-native tools.
Lead the architecture and engineering of a bank-grade AI & Agentic Platform, designing distributed systems, agent protocols, LLM infrastructure, and cloud-native stacks to support secure, scalable agent workloads across the enterprise.
Build ML-driven data-mining tools to find the most valuable moments in petabytes of autonomous-driving data, turning them into searchable datasets for ML engineers.
Build and maintain Azure infrastructure as code (Bicep/Terraform) for a multi-tenant SaaS platform, automating deployments, networking, and disaster recovery for dealer-management systems.
Optimize and migrate a SQL Anywhere 17 production database to PostgreSQL 18 for automotive dealership systems, tuning queries, indexes, and schema while ensuring data integrity and performance.
Staff AI Engineer Location: Work At Home-Connecticut Remote Type: Remote Time Type: Full time Job Description We’re building a world of health around every individual — shaping a more connected, convenient and…
Build and deploy generative AI systems (LLMs, RAG, agentic workflows) for defense operations, integrating Azure OpenAI, LangChain, and vector databases to support U.S. COCOM missions.
Build and maintain the data and ML infrastructure for an AI-driven decision-support system, focusing on probabilistic record matching, relevance scoring, and grounded text generation with full provenance tracking.
Lead hands-on engineering role building and deploying production-grade AI applications (copilots, agents, RAG pipelines) for a global asset manager, while coaching a new AI team.
Build and deploy production-grade generative AI systems for Capital Group’s investment process, including RAG pipelines, agents, and copilots, while ensuring responsible AI, security, and cost controls.
Design and lead enterprise AI data architectures, including RAG pipelines, vector indexing, and knowledge graphs, to enable AI agents while enforcing strict data governance and security.
Architect and own LSports’ GCP-based cloud platform and its agentic AI layer, designing scalable, secure systems for real-time sports data and LLM-powered automation.
Designs enterprise AI solutions (RAG, agents, assistants) and integrates them with clients’ systems using cloud services and APIs.
We couldn't check your fit for this role — add a CV to your profile to see it next time.