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 AI/ML models and LLM-based assistants for pharma-market analytics, including RAG systems and data-driven decision tools.
Lead AI Engineer builds and deploys generative AI and agentic systems for financial services, focusing on multi-modal LLMs, scalable MLOps pipelines, and enterprise integration.
Build LLM-based agents and RAG systems for autonomous network operations, integrating fault diagnosis, predictive analytics, and closed-loop decision support using Python, LangChain, and vector/graph databases.
Lead AI Engineer designs, builds, and deploys enterprise-scale AI/ML and Generative AI systems, including RAG pipelines and agentic workflows, across Azure, GCP, or AWS.
Lead backend engineering teams to build cloud-native, data-driven platforms and APIs for a global credit ratings and financial data provider, using Java/Spring Boot, Python, and AWS.
Build and ship an AI agent that automates car-rental sales and support: design prompts, integrate with CRM, and tune conversational flows to handle bookings, extensions, and FAQs.
Build and maintain scalable data pipelines, vector stores, and LLM-driven BI systems using Python, Spark, and cloud ML services to power real-time AI applications.
Senior Full Stack developer building cloud-native apps with Next.js, NestJS, Python and AWS, integrating generative AI into enterprise solutions and leading technical architecture.
Build and maintain reliable data pipelines and a Lakehouse architecture on Databricks to feed analytics, models, and APIs, while integrating AI/ML solutions and mentoring peers.
This is a rare opportunity to join a specialized, ground-floor team working with early adopters to deploy AI voice agents and automation at scale. You will directly influence the platform's development,…
Build and deploy AI solutions (LLMs, RAG, ML) to optimize Safran Aircraft Engines’ customer support and service operations, translating business needs into robust, explainable models.
Build and deploy AI solutions (LLMs, RAG, ML) to improve customer support and service operations, translating business needs into robust, explainable models and driving adoption across teams.
Builds and maintains the backend services and AI pipelines for an enterprise-grade conversational AI agent using Python, FastAPI/Flask, LangChain, and Google Gemini Enterprise on GCP.
Builds and maintains backend services and AI pipelines for conversational agents using Python/Go, integrating LLM APIs (Gemini/Vertex) and social data sources to power Ipsos Synthesio’s social intelligence platform.
Build and maintain data pipelines, integrate LLM APIs, and implement RAG workflows for a loyalty and engagement platform using Python, SQL, and Talend.
Build and optimize data pipelines on AWS for clients, focusing on automation, Spark, and CI/CD to enable scalable analytics and business insights.
Design and build scalable GCP data pipelines and deploy agentic AI systems using Vertex AI, LangChain, and RAG for enterprise clients.
Build and optimize AWS data pipelines for enterprise clients, focusing on automation, cloud-native tooling (Spark, Airflow, Terraform), and scalable data platforms to enable analytics and business insights.
Build high-performance backends in Python/FastAPI and integrate Anthropic LLMs with RAG pipelines for a company focused on AI-powered developer tools.
Build and deploy generative-AI backends in Python, designing RAG pipelines, AI agents, and scalable cloud infrastructure on GCP while owning CI/CD, Docker/Kubernetes, and IaC.
We couldn't check your fit for this role — add a CV to your profile to see it next time.