Project opportunity for AI Technical Lead | Munich, Germany | Hybrid - 4days/month

AMM ENTERPRISE GmbH
Ansprechpartner: Priya Badiger
munich,  Deutschland
80% RemoteFreiberuflichab sofortDauer 12 Monate100% Auslastung
ITCopilotAzure Machine LearningTechnische LeitungLarge Language ModelsGenerative AIArtificial Intelligence Markup Language (AIML)

Beschreibung

Dear Candidate,
Please find the details below

Role: AI Technical Lead
Location: Munich, Germany | Hybrid - 4days/month
Mode: Freelance B2B contract
Language: English

JD
Role Overview
The AI Tech Lead serves as the primary technical leader and customer-facing representative for AI and Generative AI initiatives. The role is responsible for translating business requirements into scalable AI solutions, driving architecture decisions, leading development teams, and collaborating directly with customer stakeholders to deliver enterprise-grade LLM, Agentic AI, and Retrieval-Augmented Generation (RAG) solutions.
The individual will provide technical leadership across AI strategy, solution architecture, agent orchestration, retrieval engineering, model governance, observability, evaluation frameworks, and production deployment while ensuring alignment with customer goals, business outcomes, security requirements, and operational excellence.

Key Responsibilities
Customer Engagement & Leadership
AI Solution Architecture & Design
Agentic AI & LangGraph Engineering
Agno Agent Framework Development
Retrieval Engineering & RAG Solutions
Model Routing & Reliability Engineering
AI Observability & Evaluation
Engineering Excellence
Testing & Quality Assurance
AI Governance & Security
Customer-Facing Skills

Required Skills & Experience
Technical Skills
  • Strong expertise in Generative AI and Large Language Models (LLMs).
  • Hands-on experience with LangGraph and Agentic AI architectures.
  • Expertise in Agno framework and reusable agent skill development.
  • Deep knowledge of Retrieval-Augmented Generation (RAG) architectures.
  • Experience with:
  • Chunking strategies
  • Embeddings
  • Vector databases
  • Semantic search
  • Hybrid retrieval
  • Reranking
  • Citation grounding
  • Strong understanding of model routing, orchestration, fallback, and failure handling strategies.
  • Experience building AI observability and evaluation frameworks.
  • Advanced Python programming expertise.
  • Experience in API development, microservices, DevOps practices, and cloud-native deployments.
  • Knowledge of enterprise integration patterns and scalable AI architectures.
Preferred Qualifications
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or related fields.
  • 10+ years of software engineering experience with 4+ years in AI/ML or Generative AI solutions.
  • Experience leading enterprise AI transformation initiatives.
  • Experience delivering production-scale AI solutions in large organizations.
  • Familiarity with cloud AI platforms such as AWS, Azure, or Google Cloud.
Key Deliverables
  • Enterprise AI solution architecture and design documents.
  • Customer-approved AI implementation roadmaps.
  • LangGraph-based agent orchestration frameworks.
  • Reusable Agno agent libraries and accelerators.
  • Production-ready RAG and retrieval platforms.
  • Model routing and failover frameworks.
  • AI observability dashboards and evaluation systems.
  • Security and governance recommendations.
  • Technical leadership, mentoring, and customer advisory support.
If interested in this role, please share your CV to ***@***.com

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