GenAI & MCP Toolkit; Semantic Layer

Position: GenAI & MCP Toolkit (Semantic Layer)
About the Company

We are seeking an Engineer to build next-generation Generative AI capabilities and develop MCP (Model Context Protocol) tooling that powers our enterprise semantic layer.

About the Role

This role combines software engineering, AI integration, and platform development to enable intelligent, secure, and context-aware applications across the organization.

Responsibilities

- Develop GenAI features that support natural-language querying and semantic understanding.
- Build and extend MCP tools, adapters, and servers for safe interaction between LLMs and enterprise systems.
- Implement semantic search, embeddings, and RAG pipelines to enhance model accuracy and grounding.
- Work with platform, data, and AI/ML teams to integrate capabilities into enterprise applications.
- Optimize performance, reliability, and observability for GenAI components.

Qualifications

- 3–7 years of software engineering experience; strong in Python, Type Script, or similar languages.
- Hands-on experience with LLMs, embeddings, vector databases, and modern AI tool chains.
- Experience building APIs, services, or developer tooling.
- Understanding of cloud platforms and secure system integration.

Required Skills

- Experience with MCP or agent/tool frameworks (e.g., OpenAI tools, Lang Chain, Llama Index).
- Exposure to semantic layers, knowledge graphs, or metadata systems.
- Familiarity with LLM safety, grounding, and context management.

Preferred Skills

- Experience with MCP or agent/tool frameworks (e.g., OpenAI tools, Lang Chain, Llama Index).
- Exposure to semantic layers, knowledge graphs, or metadata systems.
- Familiarity with LLM safety, grounding, and context management.

Equal Opportunity Statement

[Include a statement on commitment to diversity and inclusivity.]