Senior AI Engineer GenAI Platforms & Enterprise Systems

About us:

Intuitive.Cloud is one of the fastest-growing (INC 5000, CRN) Cloud & SDx solution and services companies supporting enterprise customers on a global scale. Intuitive is an "Engineering Company" delivering measurable value and key business outcomes.

Intuitive Superpowers:

- DataOps & AI/ML

- Cloud Native, AppSecOps, DevSecOps

- Cloud Migration & Transformation

- Cloud FinOps

- Cybersecurity (App/Data/Infra) & GRC

- SDx & Digital Workspace

We are proud to partner with some of the world's leading enterprises and serve 200+ customers across different industry verticals. We have achieved many milestones along the way, including being recognized as a top-10 fast-growth 150 IT company in the Americas by CRN in 2022 and being named one of America's fastest-growing private companies by INC 5000 in 2022. That s not all! Even CIO Review awarded us as the Most Promising Cloud Migration Company and Artificial Intelligence Solutions Provider in 2022.

About the job:

Title Senior AI Engineer GenAI Platforms & Enterprise Systems

Start date: Immediate

Position Type: Full Time

Location: Remote across USA/ Canada/ India

Role Overview:

You will build and operationalize production-grade AI systems integrating Gemini and Claude into enterprise workflows.

You will focus on building real AI systems that drive measurable business outcomes and contextual decision-making at scale, moving completely beyond proof-of-concept prototypes.

Key Responsibilities:

• GenAI Development: Build sophisticated RAG pipelines (retrieval, embeddings, ranking), develop prompt frameworks, implement evaluation systems, and code multi-step reasoning workflows.
• Agentic Systems: Build and deploy AI agents for IT support automation, finance workflows, HR operations, and supply chain orchestration utilizing LangChain, Semantic Kernel, or custom frameworks.
• Enterprise Integrations: Develop robust connectors, APIs, and event-driven pipelines for core systems including Salesforce, SAP, Workday, and ServiceNow.
• Data & Knowledge Layer: Work directly with vector databases, knowledge graphs, and advanced document processing pipelines to feed contextual data to LLMs.
• Observability & Evaluation: Implement rigorous AI output evaluation for accuracy and hallucination control, alongside comprehensive logging, tracing, and feedback loops.

Required Qualifications:

• Experience: 5+ years of experience in software engineering and AI development.
• Core Stack: Deep proficiency in Python, APIs, and microservices, alongside major LLM frameworks (LangChain, LlamaIndex, Semantic Kernel).
• Infrastructure: Strong experience with cloud platforms (AWS/Azure/Google Cloud Platform) and building complex data pipelines and APIs. Exposure to enterprise SaaS ecosystems and direct experience with Gemini/Claude APIs is highly preferred.