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 ML/LLM solutions end-to-end for diverse clients, from data prep to production APIs, while collaborating in a team of ML engineers.
The Lead AI Engineer will architect and build autonomous, production-grade agentic systems using Python, LangGraph, and various LLM orchestration frameworks. This role involves designing multi-agent workflows, managing state for long-running tasks, and integrating real-time data pipelines to enable intelligent, self-healing decision-making systems.
The Senior AI Application Developer will design, build, and deploy production-grade AI applications, including agentic systems and RAG pipelines, to support manufacturing operations. The role involves full-stack development using Python, C#/.NET, and TypeScript while implementing LLMOps practices and enterprise-grade AI governance.
The Lead AI Engineer will architect and build production-grade autonomous agentic systems using Python, LangGraph, and various LLM orchestration frameworks. This role involves designing multi-agent workflows, managing state for long-running tasks, and integrating real-time data pipelines to support intelligent, self-healing applications.
The Distinguished AI Engineer is a hands-on technical leader responsible for designing and scaling enterprise AI solutions, including machine learning, generative AI, and AI agents. The role involves building reusable AI services, modernizing legacy systems, and defining enterprise-wide AI architecture and governance standards.
The Senior AI Machine Learning Engineer will design and deploy production-grade generative AI applications and autonomous agents to automate financial workflows. The role focuses on leveraging foundation models, RAG, and fine-tuning to enhance BlackLine's financial close and invoice-to-cash platforms.
Lead the design and implementation of enterprise-grade Generative AI and Agentic AI solutions—spanning RAG, LLMs, and AI agents—using frameworks like LangChain, LangGraph, vector databases, and cloud-native infrastructure on a 12-month contract.
Build and deploy agentic AI/ML applications on AWS for national security missions, using Python, large language models, RAG architectures, and agent orchestration patterns to automate workflows and support decision-making.
VP leading applied AI, data science, and commercial intelligence strategy and teams at Novartis, building AI/ML platforms and GenAI/LLM solutions to drive commercial and business outcomes in pharma.
Lead a Data Science & AI team at Synchrony Financial, prototyping and evaluating Generative AI and Agentic AI solutions (RAG, workflow automation, agentic orchestration) across AWS/Azure/GCP while driving readiness assessments and cross-functional delivery.
ROLE SUMMARY Agentic Product Specialist – Manager within the Digital Manufacturing Agents team is responsible for building and delivering agentic AI capabilities across Pfizer’s manufacturing network in support of the…
ROLE SUMMARY Digital Operations Agentic Lead – Senior Manager within the Digital Manufacturing Agents team is responsible for designing, delivering, and scaling agentic AI systems across Pfizer’s manufacturing network…
Builds, deploys, and integrates AI/ML models to analyze customer behavior, optimize operations, and enhance business workflows using Python, SQL, and MLOps/LLMOps frameworks.
Senior engineer building and deploying production-grade generative AI solutions for investment workflows, including retrieval pipelines, agents, and responsible-AI systems.
Build and deploy AI systems for edge and embedded environments, from R&D to production, focusing on model training, evaluation, optimisation, and MLOps to deliver real-world impact in demanding settings.
Designs and builds scalable, secure AI/ML platforms for healthcare, focusing on agentic systems, RAG pipelines, and multi-modal AI applications with guardrails and observability. Leads architectural standards, cloud-native infrastructure (Azure/AWS), and AI governance for enterprise-grade solutions.
The Senior Data Engineer will design and implement end-to-end AI features, including data pipelines, Generative AI, and agentic workflows. The role involves building scalable systems using Python, SQL, and modern frameworks like LangChain and Spark while managing MLOps practices across major cloud platforms.
Builds and deploys production-grade agentic AI systems (Python/React) for enterprise clients, focusing on agent workflows, RAG pipelines, and MCP integrations while maintaining DevOps/AgentOps practices.
About the role At Bluecrux, we turn AI ideas into solutions people can actually use. As an AI Engineer, you will build AI applications, agents and integrations for our internal teams and clients. We welcome both medior…
AppRecode is an AI-powered DevOps and cloud engineering company working with fintech, telecom, and healthcare teams across Europe and the US. We build, secure, and run the infrastructure behind production systems —…
We couldn't check your fit for this role — add a CV to your profile to see it next time.