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.
It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. Job Description We're looking for an Automation…
Build and optimize large-scale data pipelines on Databricks and PySpark, then extend them with LLM evaluation, vector search, and ML model pipelines for AI-powered analytics.
Build and ship full-stack web apps while integrating AI features like LLM-powered tools and RAG systems using modern stacks and cloud-native DevOps.
Lead GenAI adoption at Citi, designing and deploying LLM-powered features (RAG, agentic workflows) in enterprise applications while setting technical standards and mentoring teams.
Senior AI Engineer builds and deploys LLM-based agents and RAG services to automate workflows and improve decision-making, owning the full GenAI product lifecycle from prototyping to production monitoring.
Senior role designing and deploying AI solutions using graph data and GraphRAG for enterprise customers, from discovery to production.
Build and deploy AI-powered chatbots and automation workflows using LLMs, vector databases, and no-code tools; assist in RAG systems and prompt engineering.
Build and deploy LLM-powered agents and RAG pipelines using PyTorch and Hugging Face, optimizing for accuracy, latency, and cost in a contact-center AI platform.
Build and deploy NLP pipelines using LLMs for contact-center insights, including text classification, summarization, and agentic applications in a fast-moving AI startup.
Build and maintain AI-powered search infrastructure for a learning platform, designing Elasticsearch pipelines, hybrid retrieval systems, and backend services to deliver low-latency, high-relevance results at scale.
Lead the design and development of enterprise AI solutions using Python, RAG, Agentic AI, and LLMs, while engineering enterprise data pipelines and integrating AI into production.
Build and deploy Generative AI applications using LLMs, RAG pipelines, and vector databases, from prototyping to cloud deployment on Azure/AWS.
Senior AI consultant designs and iterates LLM prompts, prototypes AI copilots, and builds RAG-based solutions using Python, LangChain, and vector databases for enterprise use cases.
Leads AI initiatives, designs and iterates prompts for enterprise copilots and low-code tools, and prototypes generative AI solutions using Python, LangChain, and vector databases.
Build and deploy generative AI models and autonomous agents to optimize logistics workflows using LLMs, RAG, and vector databases.
Lead AI Engineer builds and architects AI-driven solutions, prototypes with LLMs and GenAI frameworks, and sets engineering standards for scalable, secure, and cost-efficient AI applications.
Build and optimize AI agents for adtech using LLMs, RAG, and vector databases to enhance contextual ad generation and retrieval.
Build and optimize AI agents for advertising using LLMs, RAG, and vector databases to enhance generative AI capabilities in a hybrid work environment.
Lead enterprise-scale GenAI projects for Fortune 500 clients, designing and building scalable LLM-powered systems with RAG, agents, and Graph-RAG architectures.
Senior engineer building enterprise-scale GenAI apps using LLMs, RAG, and agent frameworks; designs backend services and integrates AI into Fortune 500 systems.
We couldn't check your fit for this role — add a CV to your profile to see it next time.