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.
Build cloud-native microservices and AI-native platforms for Ericsson’s Service Orchestration product, integrating LLMs, RAG, and AI workflows using Kubernetes, Python/Java, and AI tooling.
Build and scale AI agents and GenAI workflows in Python/Node.js to boost developer productivity and software quality, integrating with CI/CD and vector databases.
Build and maintain Python backend services for a banking client, integrating AI agents (LangChain/LangGraph) and cloud tools (Azure/AWS) to automate software development workflows.
Principal Software Engineer leading GenAI application development, designing scalable AI pipelines, RAG systems, and agent frameworks to deploy LLM-based solutions in a regulated fintech environment.
Design and deploy enterprise-scale GenAI, RAG, and agentic AI solutions for a global energy trading firm, using Azure OpenAI, Databricks, and LangChain to automate workflows and enhance decision-making.
Build and maintain scalable data pipelines and AI-ready datasets for analytics and agentic systems using cloud platforms like AWS/Azure/GCP and tools such as Databricks and Snowflake.
Builds and deploys AI agents on the Flow collaboration platform using NestJS/Next.js, LangChain, and MCP tools, integrating them into customer environments and tuning them for real-world workflows.
The Role This is a software engineering role first and foremost. You'll build and ship product capabilities across our platform — and a meaningful part of your work will be AI-powered features, which is why…
Build and deploy AI agents and LLM-powered systems for public-safety use cases, orchestrating workflows with LangGraph/AutoGen and containerizing models in Docker/Kubernetes.
Build AI agents and ML models to automate KYC workflows for corporate banking clients, using agent orchestration frameworks, entity resolution, and graph analytics under strict compliance standards.
Lead a team building AI-driven financial software using Java/Python, integrating LLMs and agentic workflows while ensuring secure, scalable production systems.
Build and deliver AI/ML systems using Python/Java, agentic frameworks (LangChain), and cloud tools to create scalable, secure production solutions for JPMorganChase’s AI initiatives.
Build and maintain Porch Group’s Agentic Platform: retrieval pipelines, remote agent deployment, MCP servers, and LLM evaluation on Python/TypeScript/Kubernetes/GCP, enabling AI across JVM-based services.
Build and deploy intelligent AI agents using LangChain, LangGraph, and LLMs to automate enterprise supply-chain workflows with Python, FastAPI, and cloud-native tools.
Build and deploy enterprise-scale AI/ML models for banking, using Python, PySpark, and LLMs; partner with business to drive measurable outcomes and maintain model governance.
Build AI-powered assistants and agents to automate IT infrastructure operations, troubleshooting, and engineering productivity using Python, RAG, and cloud-native tools.
Build and scale AI agents and foundation models for drug discovery, integrating biological data and MLOps pipelines to accelerate therapeutic research.
Build and deploy AI-powered applications using Azure AI services, RAG, and agentic frameworks like LangGraph to create intelligent, automated solutions for clients.
Build and maintain full-stack applications with AI capabilities, using modern AI tools and LLMs to prototype, deploy, and secure enterprise software for mortgage-related workflows.
Build and deploy production-grade AI systems using LLMs, RAG, and multi-agent workflows to power enterprise applications at a major retailer.
We couldn't check your fit for this role — add a CV to your profile to see it next time.