We are partnering with an organization that is accelerating its GenAI transformation and building an enterprise-wide AI platform.
The AI team is developing a scalable GenAI platform to enable teams to build, deploy, orchestrate, and manage AI agents and GenAI applications securely at scale.
This is a hands-on architecture and engineering opportunity, with a strong focus on platform foundations, agentic AI, RAG, integrations, and LLMOps.
Responsibilities
Design end-to-end GenAI & AI Agent platform architecture
Build single- and multi-agent systems using LangGraph, AutoGen, CrewAI or similar
Develop reusable agent templates, prompts, RAG modules and guardrails
Implement tool calling, MCP, APIs and enterprise integrations
Build RAG pipelines, embeddings and vector database solutions
Develop core platform components and APIs in Python
Implement CI/CD, containerization, monitoring and evaluation
Design security, access control, auditability, GDPR and responsible AI controls
Define observability and evaluation for accuracy, hallucinations, latency and cost
Develop PoCs and rapidly validate new AI use cases
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