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 the shared AI platform layer that lets Oyster teams develop, deploy, and operate secure, production-grade AI applications using LLMs, RAG, agents, and workflows on AWS/Snowflake.
Lead the design and deployment of AI systems (LLMs, computer vision, voice AI) to improve EV-charging analytics, customer support, and automation for ChargePoint’s global network.
Leads enterprise AI architecture, designing and deploying scalable ML models (TensorFlow/PyTorch) and data pipelines to transform business operations and enable predictive insights.
Owns product development end-to-end for Corridor’s AI-driven security tools, collaborating with engineers to solve technical problems for security teams and developers shipping autonomous code.
Builds AI-driven automation systems and production-grade Python software for NBCUniversal’s advertising data collaboration platform, focusing on agentic workflows, clean room capabilities, and scalable audience/measurement tools.
Lead AI and Data Science teams, design analytical strategies, and implement advanced GenAI solutions using Python, MLOps, deep learning frameworks (TensorFlow/PyTorch), LangChain, and cloud platforms (AWS/GCP/Azure) in a Madrid-based Center of Excellence.
Own the core agent harness infrastructure for a GenAI company, building orchestration loops, tool calling systems, and evaluation frameworks using Python/TypeScript.
Build and deploy ML models end-to-end in healthcare, from EDA to production on GCP, using Python, LLMs/GenAI, and MLOps pipelines.
Builds and maintains Python-based applications for clients, focusing on REST APIs, microservices, and AI/ML integrations while collaborating with teams to deliver scalable solutions.
Build AI-powered tools and integrations for a fintech platform that connects systems and automates workflows for private market investments.
Design and build AI-native, agentic systems for HR workflows like onboarding and analytics using Python, LangGraph, and Databricks, integrating enterprise HR platforms such as Workday.
Senior role troubleshooting and optimizing GenAI/ML workloads on Databricks, advising customers on AI agents, vector search, and model serving while collaborating with engineering teams.
Data Engineer building scalable data pipelines, web scraping, and browser automation solutions using Python and SQL to power AI-driven healthcare analytics platforms.
Customer analytics / recommendation engines AWS Data & AI Engineering (Hands-on) Role Summary We are seeking a Senior Data & AI Presales Engineer to act as a Forward Deployed Engineer (FDE) —working directly…
Customer analytics / recommendation engines AWS Data & AI Engineering (Hands-on) Data Engineering We are seeking a Senior Data & AI Presales Engineer to act as a Forward Deployed Engineer (FDE)—working directly…
Build and deploy a production-grade RAG system and AI chatbot using Python, FastAPI, and agentic frameworks like LangGraph, integrating LLMs and vector databases.
Lead AI/ML initiatives for Ford’s FBS Marketplace, designing scalable models and deploying AI solutions using LangChain/LangGraph to drive data-driven products in mobility tech.
Designs and builds AI-powered features for a work-management platform, focusing on large language models and machine learning to automate tasks and surface insights.
Design, build, and productionize large-scale machine learning and generative AI systems, implementing robust MLOps workflows using MLflow and deploying on Databricks.
Builds and deploys customer-facing solutions on a platform using Python, React, and AI/ML, collaborating closely with clients and senior engineers to translate requirements into production-ready software.
We couldn't check your fit for this role — add a CV to your profile to see it next time.