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.
Designs and deploys AI-driven workflows (agentic systems, RAG, automation) for an edtech SaaS company, leading a small team to scale AI capabilities in production environments.
Allara is a comprehensive women’s health provider that specializes in expert, longitudinal care that supports women through every life stage. Trusted by over 60,000 women nationwide, Allara makes expert healthcare…
Builds AI-driven products and platforms by translating customer workflows into scalable cloud/on-premise solutions, focusing on problem-solving and value creation with Python/Java/JavaScript.
Build AI agents that detect fraud and security threats using LLMs, RAG, and multi-agent systems on telemetry and network data.
Build and deploy AI-powered applications end-to-end, integrating LLMs, prompt engineering, and full-stack development to create next-generation AI systems for real-world business problems.
Build a data-heavy M&A deal-tracking web app: React/Next.js UI, PostgreSQL backend, and AI agents for document processing and insights using LangGraph and Anthropic SDK.
Build and maintain full-stack enterprise apps using React, FastAPI, Python, and AWS, integrating AI/ML features and DevOps practices for a biotech company.
Develops AI-driven automation solutions using RPA tools (e.g., WorkFusion) and agentic AI frameworks (LangChain, LangGraph) to build workflows, RAG systems, and document intelligence for HPE’s IT services.
Design and build scalable cloud-native data pipelines and platforms (batch/streaming) using Python, Spark, Kafka, and cloud data warehouses to power analytics and ML across global telco markets.
Builds AI agents and RPA automations using WorkFusion, LangChain, and vector databases to orchestrate document intelligence and enterprise workflows.
Build statistical and ML models for healthcare analytics and pharma marketing mix modeling to optimize spend and strategy using Python, SQL, and cloud tools.
Design and build AI-native legal workflows and automation systems that integrate AI models, CRMs, document systems, and client portals to deliver scalable legal services.
Design and build AI-powered applications using cloud services, generative models, and deep learning. Integrate solutions like chatbots and image processing into production pipelines.
Build and deploy AI/ML systems for government missions, including LLM-powered workflows and agent-based automation in secure environments.
Leads engineering teams to design and deliver cloud-native financial platforms, driving cross-product collaboration and aligning tech strategy with JP Morgan Chase’s fintech goals.
Lead the architecture and hands-on delivery of scalable GenAI applications and agentic AI platforms for finance use cases using Python, AWS, and enterprise-authored AI tools.
Build and deploy production-grade generative AI systems—LLMs, RAG, and AI agents—to automate document processing, customer support, and decision workflows in a regulated banking environment.
Build and improve AI-powered tax assistant features, RAG, generative AI, workflow automation, and fiscal insights using Python, backend services, and AI orchestration frameworks.
Build and deploy production-grade generative AI systems (LLMs, RAG, AI agents) for a large bank, focusing on NLP, document intelligence, and responsible AI in a regulated environment.
Build and deploy enterprise-grade AI systems using LLMs, RAG, and Agentic AI frameworks to automate workflows and enhance customer experiences in banking.
We couldn't check your fit for this role — add a CV to your profile to see it next time.