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 AI-augmented developer tools using .NET, Python, and cloud services, integrating LLMs and vector databases to speed up software delivery and improve workflows.
Lead training, alignment, and optimization of large language models using RLHF, SFT, and quantization; build reward models, red-team models, and optimize inference pipelines in Python/C++/Rust.
Validates datasets, AI/LLM inputs and outputs, and ETL pipelines for a healthcare-focused AI platform using SQL and Python.
Build and deploy AI-powered coding agents and agentic frameworks using Python, TypeScript, and React; own cloud deployments, CI/CD, and quality assurance for AI-generated code.
Design and implement AWS-based data and AI platforms for APAC clients, ensuring scalable, compliant solutions that drive business outcomes.
Designs AI agents and LLM-based solutions with vector databases and orchestration tools, building automation workflows and scalable ML pipelines.
Design and deploy multi-agent AI systems for logistics workflows, integrating LLMs with enterprise tools using frameworks like CrewAI and LangGraph.
Architect and build production-grade AI agent systems that reliably process enterprise data, integrating LLMs, RAG, and multi-agent workflows while ensuring consistency and auditability in regulated environments.
Build and deploy enterprise-grade autonomous AI agents using LLMs, orchestration frameworks, and vector databases in Azure to power resilient workflows and RAG systems.
Builds and deploys AI-powered applications using LLMs, RAG, and agentic AI; integrates with cloud services and vector databases.
Design and govern end-to-end enterprise GenAI architectures on Databricks, integrating LLMs, vector search, and agentic workflows with Python and Azure.
Build next-gen AI-powered security tools by designing multi-agent systems in Python, integrating with security tools via MCP, and developing RAG pipelines for autonomous pentesting and remediation.
Leads quality engineering for an enterprise AI platform, building test frameworks for Agentic AI workflows and LLM-based systems using Python, Java, and modern CI/CD stacks.
Build AI-powered agents and RAG applications using vector databases and orchestration frameworks to automate tasks and deliver data-driven insights for commodity markets.
Build and maintain Snowflake data models to power AI-driven marketing systems, enabling agentic workflows and LLM tool-calling for predictive and generative use cases.
Builds and maintains automated testing frameworks for AI agents and LLM-based systems using Playwright and CI/CD, validating workflows on AWS Bedrock and vector databases.
Build production-ready enterprise AI apps using LLMs, RAG, and AI agents with Python, FastAPI, and cloud platforms to automate workflows and unlock business knowledge.
Design and build enterprise data pipelines using Microsoft Fabric, Synapse, and Azure Data Factory to power analytics and AI workloads for an edtech company.
Build and scale data infrastructure for an AI-powered accounting automation platform, including data lakes, relational databases, and search/vector systems.
Designs and builds scalable cloud data pipelines, warehouses, and analytics platforms using Python, SQL, Spark, and cloud tools like BigQuery and Snowflake, with optional Gen AI integration.
We couldn't check your fit for this role — add a CV to your profile to see it next time.