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 optimize multilingual AI translation models and MLOps pipelines using AWS SageMaker and containerized workflows to support government mission applications.
Leads end-to-end machine learning projects, architecting and deploying AI models to solve business problems while mentoring teams and collaborating with cross-functional partners in a commercial software company.
Lead a team to build and ship scalable generative AI applications, translating research into real-world products while optimizing performance and mentoring engineers.
Overview The way companies innovate is broken. The systems built to create and protect ideas can’t keep up with the pace of change. Today, 90% of S&P 500 company value is intangible (e.g. in intellectual property)…
QA Engineer at Kestra, a universal orchestration platform, testing data pipelines and workflow automation tools to ensure reliability for enterprise and open-source users.
Solution Architect designs enterprise-scale GenAI/LLM systems, including RAG pipelines, agent orchestration, and secure on-prem deployments, while guiding clients through AI transformation and regulatory compliance.
Build and optimize AI agents, LLM pipelines, and RAG systems for an e-commerce customer support platform using Python and modern ML frameworks.
Build and deploy realtime intent-drift detection models for AI coding agents running on developer machines, using small open models and local-first Python tooling.
Leads the build-out of an internal AI and data platform to power non-engineering functions like Finance, HR, and Sales, using LLMs, agent frameworks, and modern data engineering.
Build and deploy multi-agent AI systems, multimodal pipelines, and RAG/Graph-RAG for fintech use cases using Python, PyTorch, and Databricks.
Designs and advises clients on secure GenAI or Computer Vision solutions, running discovery workshops and mapping workflows to scalable architectures under high-security constraints.
Designs and implements AI/ML and generative AI solutions for enterprise clients, focusing on architecture, LLM/RAG pipelines, and MLOps—collaborating with data and product teams to scale AI from proof-of-concept to production while ensuring security, governance, and cloud platform integration.
Lead AI engineering for generative-AI copilots and RAG systems in a regulated financial-services environment, building production-grade Python/LLM pipelines on Azure.
Build and deploy generative AI models using Python, TensorFlow, and cloud platforms; lead GenAI projects from ideation to production for enterprise clients.
Build enterprise-grade GenAI apps in Python: LLMs, RAG pipelines, vector search, and agentic workflows for scalable, AI-powered solutions.
Leads AI/ML engineering for Accenture, designing and deploying large-scale LLM and deep-learning solutions on Azure using Python, .NET, and cloud-native architectures while mentoring teams and driving technical strategy.
Build and deploy ML models for business decisions and optimize AI agentic systems like conversational tools, using Python, SQL, and libraries such as PyTorch.
Design and deploy enterprise AI solutions on Red Hat OpenShift AI, including GenAI, agentic AI, and MLOps workflows, while advising customers and leading project teams.
Build autonomous AI agents using LangChain, LangGraph, and AutoGen, integrating RAG, knowledge graphs, and fine-tuned SLMs for edge deployment.
Job Description We are seeking experienced AI Engineers / Agentic AI Developers to design, develop, and deploy enterprise-grade AI solutions with a focus on Agentic AI , Large Language Models (LLMs) , and…
We couldn't check your fit for this role — add a CV to your profile to see it next time.
