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.
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.
Leads AI-powered SaaS development, designing and implementing advanced AI systems (semantic search, RAG, vector databases) while mentoring engineers and driving technical innovation in a high-security, compliance-focused environment.
Senior Staff Applied AI Engineer at Databricks builds and owns the retrieval stack and search subagents for AI agents, enabling context retrieval across enterprise SaaS data using IR, RAG, and agentic systems.
Builds intuitive, scalable AI-driven interfaces and workflows for Databricks' platform, leveraging generative AI and modern web technologies in a startup-like NYC team.
Designs and deploys GenAI models and systems for Databricks’ AI-powered products like Assistant and AI/BI Genie, focusing on LLM quality and scalable ML pipelines.
Designs and scales Databricks' next-generation AI-powered search platform, combining vector, keyword, and hybrid retrieval to power enterprise knowledge management and AI applications.
Senior engineer builds and tunes hybrid search systems that power both human users and AI agents, blending keyword and vector retrieval with relevance metrics like nDCG and MRR.
Builds and optimizes search systems that power both AI agents and human users, focusing on hybrid retrieval, ranking models, and relevance metrics using Lucene/Elasticsearch and embeddings.
Leads the technical vision for Databricks' search ranking, relevance, and evaluation systems, blending keyword, vector, and hybrid retrieval to improve enterprise AI applications.
Senior Fullstack Developer builds and maintains enterprise-grade document/data management software, designing APIs (GraphQL/REST), optimizing MSSQL databases, and developing React interfaces for financial process automation.
Build and own fullstack features for an enterprise document-management platform using .NET, MSSQL, GraphQL, and React in a regulated, multi-tenant environment.
Builds and maintains enterprise-scale Python applications, with a focus on AI-driven components like LLM integration and RAG systems for financial services.
NetDocuments is committed to providing an excellent candidate experience and will never ask you to engage in recruitment activity without phone, video, and in person meetings and communications from emails using the…
Build and deploy a production-grade RAG system and AI chatbot using Python, FastAPI, and agentic frameworks like LangGraph, integrating LLMs and vector databases.
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.
Build and improve AI voice systems that automate healthcare navigation tasks like outbound calls and multi-agent coordination, using reinforcement learning from real nurse interactions to reduce manual work.
Design and build scalable data services, event-driven architectures, and APIs using TypeScript, Python, and AWS to power Crunchyroll’s media platform for 100M+ anime fans.
Builds and deploys production-grade AI agent workflows (LangGraph, Temporal) for Acquia’s enterprise digital experience platform, focusing on scalability, observability, and RAG architectures while mentoring peers.
Build and ship production-grade agentic AI workflows using LangGraph, Temporal, and LangFuse to power Acquia’s AI-powered DXP for enterprise-scale digital experiences.
We couldn't check your fit for this role — add a CV to your profile to see it next time.