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 deploy end-to-end ML and Generative AI solutions for enterprise-scale problems in commercial operations, supply chain, and customer experience using Python, TensorFlow/PyTorch, and LLM frameworks like LangChain.
Build and deploy AI agents using LLMs and orchestration frameworks (LangChain, LangGraph) to automate multi-step tasks for financial services, while designing scalable data pipelines and cloud infrastructure.
Sobre a Accenture A Accenture ajuda as principais empresas do mundo a se reinventarem, construindo seu núcleo digital e liberando o poder da IA para gerar valor com rapidez em organizações de todos os setores. Nossa…
Design and deploy AI agents that integrate with investment workflows to enhance research, portfolio construction, and risk analysis for an asset-management firm.
Designs and leads enterprise-scale .NET/Python architectures for PNC’s lending tech, focusing on cloud-native microservices, AI/ML integration (LLMs, agents), and modernizing legacy systems to improve operational efficiency and customer experience.
Build and own production ML/AI components for Amgen’s AI Studio, including GenAI, RAG, and retrieval systems, using Python, SQL, and cloud services.
Build and deploy production ML and GenAI components—models, RAG systems, agents, and pipelines—using Python, SQL, and cloud services to power Amgen’s healthcare-focused AI products.
Designs and leads enterprise-scale .NET/Python architectures for PNC’s lending tech, focusing on cloud-native, AI-driven solutions, microservices, and event-driven systems to modernize legacy platforms and drive business growth.
Builds and deploys autonomous AI agents, multi-agent systems, and generative AI solutions using frameworks like LangChain, AutoGen, and Azure OpenAI to automate enterprise workflows, enhance decision-making, and deliver scalable AI-driven business value.
Build and deploy production-grade generative AI systems with Google Cloud partners, transitioning prototypes into scalable agentic workflows using Python, RAG, and Vertex AI.
Build and deploy AI-powered agents and workflows using LLMs, RAG, and agentic frameworks to modernize enterprise software and drive scalable AI solutions.
Build and lead a multi-agent AI platform for pharmacovigilance using AWS Bedrock, Anthropic Claude, and LangGraph to automate adverse-event processing and ensure regulatory compliance.
Build and scale Dialpad’s next-gen AI agent platform, designing multi-agent orchestration, real-time reasoning, and tool execution systems for enterprise workflows.
Build and operate the interface, semantic layer and controls that let AI agents safely interact with IFS enterprise software, focusing on MCP servers, knowledge graphs and agentic workflows.
Data Analyst builds and optimizes data pipelines and semantic marts for an AI Business Assistant in Sberbank’s SME banking unit, enabling LLM-powered chat interactions and business insights.
Embed with a global manufacturer to design and ship governed agentic search workflows using Python/C# and enterprise search engines, bridging customer needs with Sinequa’s AI platform.
Lead AI and infrastructure strategy for a space-defense startup, setting technical direction for agentic engineering, cloud platforms, and DevOps to support autonomous spacecraft and mission software.
Lead AI security architecture and risk governance at a global fintech leader, defining secure-by-design patterns, risk-tiering frameworks, and guardrails for enterprise AI adoption.
Build statistical and ML models for healthcare analytics and pharma marketing mix modeling to optimize spend and strategy using Python, SQL, and cloud tools.
Build and deploy AI/ML systems for government missions, including LLM-powered workflows and agent-based automation in secure environments.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
