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.
Embedded AI engineer at Google Cloud who builds, deploys, and optimizes production-grade agentic AI systems for high-value public-sector clients, bridging Google’s AI products with customer infrastructure while feeding real-world insights back into product development.
The Forward Deployed Engineer (FDE) is a hands-on AI professional who combines strong technical expertise with consulting and business partnering skills. Embedded within functions such as Operations, Finance, Sales,…
Build and deploy enterprise-grade AI systems, including LLM agents, retrieval pipelines, and AI gateways, using Python/TypeScript and modern AI engineering patterns.
Design and deploy autonomous AI agents using LLM/RAG to automate media planning, ad buying, and financial audits for an ad-tech client, covering the full lifecycle from modeling to production.
Designs and builds autonomous AI agents with multi-step reasoning using LLMs (e.g., AutoGen, Microsoft Agent Framework) while owning microservices development, testing, and deployment in containerized environments.
Build and deploy autonomous AI agents using LLMs and agentic frameworks (AutoGen) while developing scalable Python microservices with FastAPI and Kubernetes.
Build and optimize multi-agent LLM systems, RAG pipelines, and large-scale NLP models to transform enterprise processes with rapid prototyping and production deployment.
Build and deploy generative-AI solutions using LLMs, RAG, and AI agents in Python on AWS, integrating with enterprise systems for a U.S. client.
Build and run an enterprise AI platform integrating multiple LLM providers, deploy autonomous agents for business workflows, and implement RAG systems with safety and governance controls.
Build and deploy production-grade AI solutions for enterprise clients using LLMs, RAG, and agent frameworks, owning the full lifecycle from discovery to optimization.
Builds and deploys AI-powered tools to automate marketing, e-commerce, and operations across CSC Generation’s 13+ retail brands, using LLMs, Python/JavaScript, and workflow platforms like n8n. Focuses on scaling solutions across departments to reduce manual work and improve efficiency.
Senior ML Engineer designs, builds, and deploys cloud-based AI/ML solutions, leads MLOps practices, and mentors junior team members using Python, FastAPI, and cloud services like AWS/GCP.
R&D-focused NLP role building multi-agent LLM systems, RAG pipelines, and optimizing inference for large-scale text processing in a fintech environment.
Build and deploy production-grade GenAI agentic systems for Google Cloud customers, integrating AI models with enterprise infrastructure and driving measurable ROI.
Develops production-grade AI/ML agentic systems (e.g., multi-agent workflows, MCP servers) for Google Cloud, bridging AI models with enterprise infrastructure while optimizing performance, safety, and scalability for global customers.
Build and scale an internal AI platform using LLMs, vector databases, and agent frameworks to automate engineering workflows and create AI assistants for sales, design, manufacturing, and leadership.
Designs, builds, and deploys AI solutions for a global banking client using Generative AI, Agentic AI, LLMs, and vector databases on cloud platforms.
Build and deploy AI-powered backend services and agentic systems using Kotlin/Java and modern AI orchestration frameworks to automate workflows and enhance Target’s CircleCard platform.
Build and deploy AI-powered financial services using LLMs, agentic systems, and vector search; design scalable Kotlin/Java microservices with Kafka and PostgreSQL.
Build and deploy AI-powered agents and workflows using LLMs, RAG, and agentic frameworks to modernize enterprise software and drive scalable AI solutions.
We couldn't check your fit for this role — add a CV to your profile to see it next time.