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Agentic AI Software Engineer
Machine Learning Reply•Munich, Bayern, Germany
Full-timeMid Level
👁️ 3 views•📝 0 applications•Posted 9/9/2026•Expires 10/9/2026
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Job Description
We are looking for a skilled and motivated Consultant to join our team. The ideal candidate combines strong software engineering expertise with hands-on experience in modern AI systems, including agentic AI and generative AI applications. You will support our clients in designing and building intelligent, production-ready systems that leverage LLMs, autonomous agents, and scalable cloud architectures.
Responsibilities
· Design, build, and deploy scalable, production-grade systems on cloud platforms such as AWS, GCP, or Azure. · Develop and operate agentic AI systems, including multi-step workflows, tool integration, and autonomous decision-making components.
· Lead end-to-end implementation of AI-driven features, from prototyping (PoC) to production deployment. · Build high-performance APIs and backend services for AI applications using frameworks such as FastAPI, Flask, or Spring Boot.
· Integrate generative AI solutions (LLMs, vector databases, RAG pipelines, orchestration frameworks like LangChain/LangGraph) into enterprise environments. · Design and implement robust orchestration and retrieval pipelines for scalable AI applications.
· Set up and maintain MLOps / LLMOps pipelines and CI/CD workflows for continuous integration, evaluation, and deployment. · Ensure software quality through testing, monitoring, observability, and performance optimization.
· Collaborate closely with clients and cross-functional teams to identify requirements and deliver impactful AI solutions. What we offer you: · Work on innovative AI and Software Engineering projects across industries (Banking, Insurance, Automotive, Retail, etc.) . · Expand you
Required Skills
AWSGCPAzureagentic AIgenerative AILLMsautonomous agentsFastAPIFlaskSpring Bootvector databasesRAG pipelinesLangChainLangGraphMLOpsLLMOpscloud architecturesproduction-grade systemsAPIsbackend servicesorchestration frameworksCI/CD workflowssoftware qualitytestingmonitoringobservabilityperformance optimizationcollaborationcross-functional teamsimpactful AI solutionsintelligent systems
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