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 an autonomous AI agent that automates end-to-end software engineering tasks using Python, LangGraph, and LangChain for a global fintech client.
Build and deploy production-grade LLM-powered applications, including RAG systems and agent workflows, using TypeScript, Python, and cloud infrastructure.
Build agentic AI systems for pharma intelligence using Python, LangChain/LangGraph, and software engineering to process complex data and support decision-making.
Design autonomous network solutions for telecoms using AI frameworks (Vertex AI, LangGraph), APIs, and vector databases to optimize agentic systems and reduce inference costs.
Build and train AI agents (Python, LangChain/LangGraph) to detect early risk signals in small-business loan portfolios, designing scalable multi-agent pipelines and cohort-analysis tools for real-time decision support.
Lead AI/ML engineering for agentic systems at JPMorgan Chase, designing LLM orchestration, RAG pipelines, and reusable GenAI components in Python with PyTorch/TensorFlow.
Build and deploy secure, scalable AI/ML and generative-AI solutions—including LLMs and agent workflows—from prototype to production for a global bank.
Build AI-powered CRM demos and prototypes using LLMs, Salesforce, and full-stack engineering to solve enterprise challenges and showcase solutions to clients.
Build and deploy AI/ML systems for clients, working with LLMs, generative AI, and MLOps using Python, FastAPI, PyTorch, and cloud platforms.
Builds and deploys generative AI solutions (RAG, prompt engineering, AI guardrails) using LangChain, LangGraph, and PyTorch in Python, while ensuring GDPR and EU AI Act compliance.
Architect data infrastructure and build AI-driven risk workflows for agentic systems using LangSmith, LangGraph, and LangChain.
Build and maintain a universal data platform that integrates enterprise data sources into automated pipelines, ensuring high-quality data for AI agents, LLMs, and RAG workflows using Python, SQL, and vector databases.
Build LLM-based agents and RAG systems for autonomous network operations, integrating fault diagnosis, predictive analytics, and closed-loop decision support using Python, LangChain, vector/graph databases, and Kubernetes.
Builds Python backend services and AI agents that integrate ML models into production on embedded Linux devices, optimizing for performance and resource constraints.
Build and deploy AI-powered chatbots and automation workflows using LLMs, vector databases, and no-code tools; assist in RAG systems and prompt engineering.
Build and deploy AI systems, including LLM-based agents and retrieval workflows, using Python and cloud-native stacks to power healthcare products and enterprise solutions.
Designs enterprise-scale AI architectures for healthcare, including generative AI apps, agentic systems, and LLM-powered workflows, while ensuring security, compliance, and cloud-native integration.
Build and deploy production-grade GenAI applications for enterprise clients, integrating LLMs, RAG, and agentic workflows with Python and modern AI frameworks.
Senior Technical Customer Architect at TrueFoundry designs and implements governance, routing, and security for enterprise AI systems using LLM gateways, MCP tooling, and agent orchestration.
Build and scale AI platform services like LLM gateways, MCP servers, and agent orchestration frameworks for Tekion’s cloud-native automotive platform.
We couldn't check your fit for this role — add a CV to your profile to see it next time.