Tech jobs
Job listings
Manager, AI Agents and Automation
Why Jerry.ai ? Join a pre-IPO startup with capital ($240M raised), traction (5M customers), and runway (we're profitable). Impact: Come lead our customer-facing Agentic AI product leveraging LLMs, agents, and internal…
Software Development Engineer
Builds and deploys AI agents for enterprise workflows, focusing on prompt/context engineering, RAG pipelines, and production integration with APIs/ERP systems using Python, OpenAI/Azure APIs, and tools like LangChain.
AI Platform Engineer - Cloud & GenAI Solutions (She/He/They)
Build and deploy AI solutions on cloud platforms, focusing on GenAI, LLMs, agents, and RAG pipelines using Python and cloud-native AI services like Azure AI Foundry and AWS Bedrock.
Azure DevOps+IA
You’ll design and maintain Azure DevOps pipelines and CI/CD workflows, deploy AI solutions on Azure, and automate infrastructure with Terraform for a major banking client.
Senior Backend Developer
Build and run the backend for a new generative-AI hub serving a financial-services firm; stack includes Azure, .NET/Node.js, vector search, agent orchestration, and Azure OpenAI.
Senior Software Engineer
Build and maintain Android/iOS mobile apps for connected medical devices, integrating BLE, cloud APIs, and OTA updates while ensuring regulatory compliance in a healthcare setting.
Senior Full Stack Software Engineer
Build and ship modern digital products and internal platforms using AI tools daily, owning full-stack architecture, system design, and automated testing end to end.
DevOps Principal Engineer - Tech Lead - EY Global Delivery Services
Leads cloud-native DevOps engineering for EY’s global delivery services, designing Azure-based CI/CD, Kubernetes, and IaC solutions while enforcing security and automation standards across multi-region deployments.
Semi Senior / Senior Software Engineer | Python + IA Generativa + Backend + DevOps
Build and deploy generative AI solutions in Python, designing backend architectures, RAG systems, and AI agents while implementing DevOps practices on GCP.
Data Engineer
Build and maintain scalable data pipelines, lakes, and warehouses in Azure, using Python, SQL, and IaC to enable analytics and reporting for clients.
Senior Ai Engineer
Lead the design and production deployment of scalable AI systems, including GenAI, agentic AI, and LLMOps, while guiding engineering teams and setting technical standards.
Prompt Engineer
Designs and optimizes prompts for LLMs (GPT, Claude, Gemini) and builds RAG pipelines using LangChain/LlamaIndex to deliver tailored AI outputs for enterprise domains like legal, medical, and finance.
Lead Generative AI Engineer
Designs and deploys production-grade generative AI solutions (LLMs, RAG, AI agents) for enterprise clients, using frameworks like LangChain and cloud platforms like Azure OpenAI, with a focus on scalability, security, and cost efficiency.
Associate Architect - Data Science
Design and lead enterprise-scale AI/ML architectures, including Generative AI and Agentic AI systems, ensuring scalability, security, and MLOps/LLMOps best practices.
Associate Lead - Data Science
Lead AI/ML teams to build, deploy, and govern production-grade generative and agentic AI systems using LLMs, RAG, and orchestration tools.
Sr .Net Fullstack Developer
Builds and maintains scalable .NET microservices and cloud-native apps on Azure, using C#, .NET Core, React/Angular, and event-driven messaging.
AI Engineer
Builds and owns AI-driven agent systems for workflow automation, integrating LLMs, RAG, and agentic pipelines to optimize enterprise processes—from prototyping to production deployment.
Staff Software Engineer
Build and scale an AI-powered observability platform, moving fluidly across the stack to compress instrumentation time, scale telemetry, and collapse latency while defining engineering culture at an early-stage startup.
Senior Software Engineer ( Java Full-Stack / AI)
Build and scale enterprise microservices in Java and React, then extend them with agentic AI features that securely connect LLMs to internal systems using RAG, MCP, and prompt engineering.
Software Engineer, Senior ( Java Full stack - AI )
Senior full-stack engineer building Java microservices and AI agents that connect LLMs to enterprise systems using RAG, prompt engineering, and modern AI tooling.