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 scalable Python back-end services in cloud environments and lead AI/GenAI initiatives using libraries like LangChain, TensorFlow, and LLM APIs.
Build and deploy Python-based backend services and Azure cloud infrastructure to operationalize AI/ML models for insurance applications.
Builds and scales Complexio’s AI-driven automation platform using Python, JavaScript, and cloud-native tools to orchestrate enterprise workflows.
Design and build AI-powered applications and system infrastructure, including data pipelines and AI model integration, using Python, JavaScript, and DevOps tools.
Build and deploy production-grade AI agents and LLM services in Python on AWS, integrating RAG pipelines, prompt engineering, and guardrails for enterprise automation in Santa Clara.
Develops and maintains cloud-based AI agents and RAG pipelines on Azure, mentors engineers, and ensures production stability for healthcare diagnostic platforms.
Build and deploy transformer-based generative AI models and NLP pipelines for PitchBook’s financial data platform using PyTorch, LangChain, and vector databases.
Lead enterprise AI/ML and generative AI initiatives, designing and deploying LLM-based solutions, setting strategic roadmaps, and mentoring teams to drive scalable, secure AI adoption in a large financial services firm.
Designs enterprise-scale AI platforms and shared services, setting standards for Generative AI, LLM integration, RAG, and cloud-native architectures on AWS/Azure/GCP.
Engineer LLM-powered applications, build retrieval pipelines with vector DBs, design agent workflows, and optimize model quality, latency, and cost.
Designs and evolves an agentic AI platform for insurance sales, integrating LLM-driven workflows, orchestration, and enterprise systems to power AI-first customer interactions across voice, messaging, and digital channels.
Build offline perception models for autonomous trucks, using deep learning and sensor fusion to auto-label data for training and simulation.
Lead the design and deployment of agentic AI systems for Citi’s banking operations, using Python, Google ADK, LangChain, and LLMs to automate workflows and reduce risk.
Builds and maintains the AI platform infrastructure, including model gateways, vector databases, and LLM evaluation tools, to integrate GenAI insights into agent workflows and downstream applications.
Lead AI/ML product development for an insurance-focused platform, owning ML features that automate renewals and drive data-driven insights for brokerages.
Principal AI/ML Architect designs and advises on production ML systems, MLOps/LLMOps pipelines, and GenAI architectures on AWS for enterprise clients, translating technical depth into business value.
Build and run a production-grade agentic platform on Kubernetes using Go and Python, integrating AI agents with enterprise tools, memory, and security layers.
Lead a team to build and deploy AI pipelines that detect emerging travel risks using LLMs, NLP, and geospatial analysis in AWS Bedrock and OpenAI.
Lead Benevity’s AI/ML strategy, designing scalable GenAI systems, LLM-powered features, and MLOps pipelines to deliver measurable business value from model training to production monitoring.
Lead the design, development, and deployment of AI/ML models and generative solutions to solve complex business problems, guiding cross-functional teams through the full data science lifecycle.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
