{"schemaVersion":"jobsearcher.job.v1","id":"9f99c7f291e360022b1ca267","url":"https://jobsearcher.com/jobs/9f99c7f291e360022b1ca267","canonicalUrl":"https://jobsearcher.com/jobs/9f99c7f291e360022b1ca267","title":"Full Stack AI developer","description":"Overview\nIn this role you will design and implement AI-powered agents and multi-agent workflows within enterprise environments. You will build scalable backend services and REST APIs to support AI-driven workflows, and deploy AI/GenAI solutions on Google Cloud. You’ll work across Java backend development, Python AI/ML work, and MLOps to ensure reliable, scalable production systems. This position offers the chance to shape next-generation agent orchestration and context-aware AI pipelines in a production setting.\n\nResponsibilitiesDesign and develop LLM-based agents capable of reasoning, planning, and task executionBuild and manage multi-agent orchestration workflowsEnable agents to interact with enterprise systems (APIs, databases, tools)Develop scalable backend applications using Java, Spring Boot, and MicroservicesBuild REST APIs to support AI-driven workflows and integrationsDevelop AI solutions using Vertex AI, Gemini, BigQuery, Cloud Run, and Pub/SubWork with Vertex AI Agent Builder and Google ADK for agent developmentImplement Retrieval-Augmented Generation (RAG) pipelinesBuild context-aware systems using vector search and embeddingsOptimize prompts and workflows for performance and costDeploy and monitor AI models and agents in productionImplement CI/CD pipelines, logging, and observabilityEnsure reliability, safety, and guardrails for AI systems\nKey requirements3–7 years of software development experienceStrong hands-on experience in Python2 years experience building and deploying real-world agents in a production environmentStrong hands-on experience in Java backend development (4 years exp)Hands-on experience in developing AI/ML or Generative AI projectsHands-on experience on Google ADKHands-on experience on MCP serversagent to agent communicationagent orchestrationJava (4+ years), Spring Boot, MicroservicesREST APIs and distributed systems designHands-on experience on Python, LLMs, GenAI, and agent-based systemsHands-on experience with GCP services (Vertex AI preferred)JavaSpring BootMicroservicesREST APIsPythonLLMs","company":"Ampcus","rawCompany":"ampcus","city":"Dallas","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-09-22T04:05:26.774Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1254.00","title":"Web Developers","slug":"web-developers"},{"code":"15-1251.00","title":"Computer Programmers","slug":"computer-programmers"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Full Stack AI developer","description":"Overview\nIn this role you will design and implement AI-powered agents and multi-agent workflows within enterprise environments. You will build scalable backend services and REST APIs to support AI-driven workflows, and deploy AI/GenAI solutions on Google Cloud. You’ll work across Java backend development, Python AI/ML work, and MLOps to ensure reliable, scalable production systems. This position offers the chance to shape next-generation agent orchestration and context-aware AI pipelines in a production setting.\n\nResponsibilitiesDesign and develop LLM-based agents capable of reasoning, planning, and task executionBuild and manage multi-agent orchestration workflowsEnable agents to interact with enterprise systems (APIs, databases, tools)Develop scalable backend applications using Java, Spring Boot, and MicroservicesBuild REST APIs to support AI-driven workflows and integrationsDevelop AI solutions using Vertex AI, Gemini, BigQuery, Cloud Run, and Pub/SubWork with Vertex AI Agent Builder and Google ADK for agent developmentImplement Retrieval-Augmented Generation (RAG) pipelinesBuild context-aware systems using vector search and embeddingsOptimize prompts and workflows for performance and costDeploy and monitor AI models and agents in productionImplement CI/CD pipelines, logging, and observabilityEnsure reliability, safety, and guardrails for AI systems\nKey requirements3–7 years of software development experienceStrong hands-on experience in Python2 years experience building and deploying real-world agents in a production environmentStrong hands-on experience in Java backend development (4 years exp)Hands-on experience in developing AI/ML or Generative AI projectsHands-on experience on Google ADKHands-on experience on MCP serversagent to agent communicationagent orchestrationJava (4+ years), Spring Boot, MicroservicesREST APIs and distributed systems designHands-on experience on Python, LLMs, GenAI, and agent-based systemsHands-on experience with GCP services (Vertex AI preferred)JavaSpring BootMicroservicesREST APIsPythonLLMs","datePosted":"2026-09-22T04:05:26.774Z","dateModified":"2026-09-22T04:05:26.774Z","hiringOrganization":{"@type":"Organization","name":"Ampcus","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dallas","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"9f99c7f291e360022b1ca267"},"url":"https://jobsearcher.com/jobs/9f99c7f291e360022b1ca267"}}