What You Will Do
- Build and deploy multi-agent AI workflows using LangGraph or similar frameworks.
- Develop RAG, retrieval, validation, knowledge-mapping, and document-generation agents.
- Integrate enterprise-approved LLMs, including Anthropic Claude or comparable platforms.
- Implement human-in-the-loop workflows, checkpointing, and resumable agent processes.
- Build automated data reconciliation and validation pipelines.
- Work with structured and unstructured enterprise data in a secure cloud environment.
- Partner with solution architects and business stakeholders to productionize AI solutions.
Required Skills
- Production experience building Agentic AI or Multi-Agent systems.
- Strong LangGraph or comparable agent orchestration experience.
- Hands-on experience with RAG, LLM integration, and enterprise AI applications.
- Experience with Databricks, Azure, AWS, or Google Cloud Platform.
- Strong Python and data engineering skills.
- Experience implementing reliable human-in-the-loop AI workflows.
- Ability to build and deploy production-grade not just prototype AI solutions.
Preferred
Databricks Mosaic AI, Anthropic Claude, Unity Catalog, Vector Search, Agentic RAG, enterprise AI governance, banking or other regulated-industry experience.
Recruiter Keywords
Agentic AI | AI Agents | Multi-Agent Systems | LangGraph | Generative AI | LLM | RAG | Databricks | Mosaic AI | Python | Anthropic Claude | Vector Search | Human-in-the-Loop | AI/ML Engineering | Data Engineering
Rate:
Not specified
Location:
Remote
IR35 Status:
Outside
Remote Status:
Remote
Industry:
AI & Machine Learning
Seniority Level:
Senior