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.
Designs and builds enterprise-grade GenAI solutions on AWS (Bedrock, AgentCore) with LLMs, RAG pipelines, and agentic workflows, ensuring scalability, performance, and cost efficiency.
Build and deploy AI/ML systems for drug discovery and patient care, including GenAI, RAG, and agents, using Python, cloud platforms, and MLOps/LLMOps pipelines.
Build and maintain scalable data pipelines using Databricks, PySpark, and cloud tech to feed analytics and AI systems in a biotech/pharma environment.
Principal AI architect designs secure, scalable AI platforms and reusable patterns for an insurance group, guiding GenAI agents, RAG, and enterprise integrations from concept to production.
Why YOU want this position At Enverus, we’re committed to empowering the global quality of life by helping our customers make energy affordable and accessible to the world. We are the most trusted energy-dedicated SaaS…
Build and deploy ML models for weather forecasting using PyTorch and HPC systems, integrating with numerical weather prediction pipelines and operational environments.
Build and scale Cresta’s real-time voice infrastructure and AI-powered backend services in Go, integrating SIP/WebRTC and multilingual pipelines for enterprise contact centers.
Lead the architecture of scalable backend systems powering Cresta’s AI platform, enabling real-time AI agents and enterprise integrations for customer experience.
Lead a team to design and scale an AWS-based data platform, building pipelines, standards, and governance for analytics and future AI use cases.
Designs and builds scalable Azure-based data pipelines and Power BI dashboards to deliver enterprise analytics and self-service BI for business stakeholders.
Build and maintain data pipelines, storage, and quality systems for a space-tech startup, integrating enterprise systems like ERP and CRM with cloud data platforms.
Own the strategy and roadmap for n8n’s Core Platform, scaling its execution engine, reliability, and security to support AI and automation features for developers and enterprises.
Build and evolve the integrations platform’s edge agent, SDKs, and developer tooling that run on customer machines to automate workflows across OS environments and orchestrate distributed systems.
Senior backend engineer leading cloud-native, geospatial systems for government clients, modernizing legacy stacks with Python/Java, AWS serverless, and DevSecOps pipelines.
Build and deploy enterprise-grade AI applications using LLMs, RAG, AI Agents, and vector search; design scalable backend services and orchestration pipelines for agentic workflows.
Build production-grade AI systems and data pipelines end-to-end, from schema design and ETL to FastAPI services and Next.js frontends, using AI coding agents as a daily accelerator.
An AI Business Automation Engineer at Box designs and builds AI-driven workflows to transform internal business processes (e.g., finance, legal, HR) by embedding with subject-matter experts, prototyping in Python with LLM APIs/agent frameworks, and deploying production-grade solutions across Box’s SaaS stack (Box, Workday, Salesforce, etc.).
Builds and maintains Python-based data pipelines and DBT workflows for a U.S. investment bank, focusing on async processing, Snowflake/PostgreSQL, and Kubernetes orchestration.
Builds and maintains banking software solutions using Java/Spring, microservices, and cloud platforms to improve digital banking services and customer trust.
Build and maintain cloud-based data pipelines and infrastructure for autonomous-vehicle development, using Python, Flyte, AWS, Kafka, and BigQuery to process petabytes of fleet data for ML and simulation.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
