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.
Business Analyst bridges pharma clients with Axtria’s AI teams to scope and deliver GenAI solutions using ChatGPT Enterprise, Copilot Studio, and AWS Bedrock, driving adoption and execution across hybrid teams.
Build and deploy GenAI and agentic AI systems for pharma clients using Microsoft Copilot Studio, ChatGPT Enterprise, and AWS Bedrock, integrating structured and unstructured data pipelines.
Builds and fine-tunes AI vision models, creates agentic AI for report analysis, and maintains a reporting dashboard.
Builds and tests low-code AI agents using enterprise platforms to integrate AI into workflows and support business teams in identifying AI use cases.
Designs and deploys AI models (LLMs, computer vision) to optimize manufacturing, improve product quality, and drive efficiency using Python, TensorFlow/PyTorch, and cloud platforms.
Build and deploy production-ready AI and multi-agent systems for healthcare, focusing on secure, compliant generative AI workflows using LLMs, RAG pipelines, and cloud platforms.
Build and scale Visa’s Java-based payment systems, integrating GenAI tools and LLM APIs to enhance backend services and developer workflows.
Build and optimize distributed systems that run large language models efficiently across Intel hardware, focusing on inference performance, parallelism, and communication.
Builds and optimizes Agentic AI/LLM systems in Python, LangGraph, and cloud-native stacks, focusing on performance, cost, and production reliability for Cisco’s AI platforms.
Build and deploy scalable AI/LLM solutions for Johnson Controls, focusing on generative AI, retrieval-augmented generation, and cloud-based ML pipelines to drive digital transformation.
Lead a team building production AI systems for eBay’s ads and marketplace discovery, including NLP, LLMs, and recommender systems that scale to millions of users.
Build and evaluate agentic AI systems for coding and research, analyzing inference workloads to optimize NVIDIA’s hardware and agent frameworks.
Lead AI engineering for classified systems: design, deploy, and secure LLMs and ML models in air-gapped environments while aligning with government accreditation and responsible-AI practices.
Build secure, scalable AI-powered search systems using LLMs, RAG pipelines, and Elasticsearch for a government customer in a TS/SCI environment.
Lead AI/ML engineering for classified systems: design, deploy, and secure LLMs and retrieval pipelines in air-gapped environments while aligning with government accreditation and responsible-AI standards.
Build secure, scalable AI-powered search systems using LLMs, RAG pipelines, and Elasticsearch for a government customer in Chantilly, VA.
Own GenAI features and proofs-of-concept for Marsh’s innovation teams, turning business needs into actionable user stories and guiding 3 squads through delivery.
Build production-ready AI features in C# .NET, integrating LLMs, prompt engineering, and structured outputs while ensuring reliability, cost control, and evaluation.
Build and lead the engineering stack for an AI-powered workflow platform using Firebase, GCP, and LLMs, with a path to CTO as the company scales.
Principal AI Engineer leads architecture and development of a cloud-native AI platform, building production-grade LLM applications and mentoring a multi-disciplinary team.
We couldn't check your fit for this role — add a CV to your profile to see it next time.