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.
Software engineer building the systems and infrastructure behind Ricursive Intelligence's end-to-end RTL-to-GDSII chip design flow: running and scaling complex chip designs across EDA tools, improving PPA in production, and deploying AI-driven methods to automate design analysis and optimization. On-site in Palo Alto.
Full-stack engineer (hired via Capitole, placed at a multinational HR/payroll client in central Barcelona) building end-to-end Node.js/TypeScript + React services, REST/OpenAPI APIs, and LLM-powered MCP/agent workflows deployed on AWS with Kubernetes and Docker. Hybrid: 3 days office, 2 remote.
Builds and maintains agentic AI automations that take real customer actions (refunds, order updates, escalations) plus the Python backend services behind them: prompt engineering, RAG/vector search, agent frameworks like LangChain/LangGraph, FastAPI/Flask/Django, and n8n workflows. In-person in Islamabad with 6pm-2am PKT hours.
About Eve Eve is redefining legal technology for plaintiff law firms, and we're building the team that will take us there. We help firms handle more cases, recover more for clients, and grow with AI that works…
A senior physical design engineer who owns Ricursive's RTL-to-GDSII flow end to end—synthesis, floorplanning, placement, CTS, routing, and signoff to tapeout in 5nm/3nm-class nodes—while deploying AI/ML tooling (DTCO optimization, LLM agents) to speed convergence and serve as ground truth for the company's self-improving chip-design systems. Core stack: PrimeTime/Tempus, RedHawk/Voltus, Calibre/Pe
Post-sales Solutions Architect at HiddenLayer, an AI security company, who partners with customers after the sale to deploy and integrate AI security solutions across cloud, on-prem, and hybrid environments, provides guidance on Docker/Kubernetes and cloud networking, troubleshoots issues, and delivers training. Requires Python, hands-on cloud (AWS/Azure/GCP), and containerization experience.
Post-sales Solutions Architect at HiddenLayer, an AI security company, working with UK-based customers to deploy, integrate, and adopt its AI security solutions across cloud, on-prem, and hybrid environments. Day to day: onboarding, technical guidance (Docker/Kubernetes, cloud networking, IaC, Python), troubleshooting, training, and feeding customer feedback to product teams.
Senior lead engineer on JPMorgan Chase's Asset & Wealth Management technology team, leading full-stack development of Private Banking web platforms and building production agentic AI solutions with LLMs, AI agents, and orchestration frameworks. Day-to-day work spans Python, Java, cloud (AWS), microservices, and AI-assisted engineering practices, plus mentoring and technical leadership.
Senior data science role at JPMorgan Chase (Corporate Technology) in Jersey City, NJ: design and productionize AI/ML, GenAI and agentic solutions — LLMs with LangChain/LangGraph, Python/PySpark, Databricks data workflows — while partnering with business stakeholders and mentoring other AI/ML team members.
Lead Software Engineer on JPMorgan Chase's ML Center of Excellence in Jersey City, designing and running production-grade ML/data pipelines at enterprise scale using AWS (S3, Redshift, Kinesis, Glue, CloudWatch), PySpark, TensorFlow, Python, SQL, and Terraform, while driving adoption of AI-assisted engineering practices across the team.
Senior individual-contributor architect at JPMorgan Chase shaping, prototyping, and scaling agentic AI solutions for internal Employee Platforms serving 300,000+ employees. Daily work spans custom agentic system architecture, LLM/RAG patterns, and public cloud deployment with security, governance, and hands-on code delivery.
Software Engineer III in JPMorgan Chase's AI For Technology group, building and delivering production AI/ML solutions (with a focus on agentic AI) through the ML lifecycle in an agile team. Day-to-day involves design, coding, and troubleshooting in Java/Python using frameworks like LangChain/LangGraph, TensorFlow/PyTorch, Spark, and AWS.
Builds and deploys LLM-powered AI features for Redica's Quality and Regulatory Intelligence platform used by life sciences companies, extracting insights from regulatory datasets. Day to day this means Python/FastAPI backend services, agentic and conversational systems, vector/graph hybrid search, and productionizing AI on AWS.
Software engineer at Tulip Interfaces building AI agentic features for its no-code frontline operations platform: writing clean TypeScript across the stack, integrating LLM APIs (e.g. Anthropic, OpenAI) with streaming/structured outputs, and implementing MCP, tool invocation, and multi-step reasoning flows. Hybrid role based in Somerville, MA (3+ days/week in office).
Senior AI Engineer building Redica Systems' quality and regulatory intelligence platform for the life science industry: leading ML architecture decisions, integrating LLM services with microservices, and delivering scalable cloud systems. Core stack is Python, FastAPI, LLM APIs (OpenAI, Anthropic, Bedrock), and SQL/NoSQL and vector databases.
Account Executive (Media Vertical/Eastern Region)- Consulting Services About NewRocket NewRocket is the AI-first Elite ServiceNow Partner that activates real value on the Now Platform. As a trusted advisor to…
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of…
Offensive security engineer at Anthropic running red and purple team engagements, penetration testing high-value deployments, and building AI-assisted security testing tooling across cloud infrastructure, endpoints, and bare metal. Core skills: macOS/Linux/cloud security, Kubernetes, CI/CD, and Python or Go.
Build and maintain C#/React web applications for RF-SMART's shipping product as part of an agile scrum team in Jacksonville, FL.
ALTEN Polska is hiring a Software Developer (AI) in Warsaw to build AI/LLM-based tools that automate SDLC and IT system testing. Day-to-day involves analyzing requirements, designing LLM solutions, Python development with LangChain/LangGraph/Pydantic AI, code reviews, testing, and documentation.
We couldn't check your fit for this role — add a CV to your profile to see it next time.