Remote job

Agentic AI Software Engineer

Machine Learning Reply

Source: RecruiteeLocation: Germany onlyPublished: Sep 08, 2026Confirmed active: Sep 10, 2026
Full-timeFinTech

Key points from the posting

Tech stack
AWSGCPAzureFastAPIFlaskSpring BootLLMsvector databasesRAGLangChainLangGraphCI/CD
Seniority:
Senior
Benefits
  • Training
  • Certifications
  • Hackathons
  • Conferences
  • Award-winning office space in downtown Munich
  • Flexible working model
  • Deutschlandticket

Read out of the job posting automatically

Our assessment

  • The posting states no salary. Comparable roles in our index (79 postings): median 5,625 euros per month, middle range 4,587 to 6,875 euros.
  • 10 more open roles from this employer in our index. 7 of them fully remote.

This section only: calculated automatically by nomado24, from our own job index and our own reading of the posting text. Not stated by the employer.

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 your skills in areas such as MLOps, cloud architecture, data engineering, and generative AI.
  • Collaborate with top technology partners in the cloud, AI, and automation ecosystem.
  • Access to training, certifications, and interdisciplinary projects.
  • Join a vibrant community with hackathons, conferences, and knowledge-sharing events.
  • Award-winning office space in downtown Munich with great transport connections.
  • Flexible working model between client site, Reply office, and remote work.

Deutschlandticket for public

recruiteeData Frameworksfulltime permanentconsulting

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