Senior AI Engineer - MCP (Model Context Protocol)

Cavendish Professionals

Town of Italy (NY)

Sur place

USD 100 000 - 130 000

Plein temps

14 jours+

Obtenez une réponse de cet employeur

Votre CV et votre lettre de motivation, adaptés exactement à ce que l’employeur recherche.

Passez les filtres ATS

Résumé du poste

A technology consulting firm is seeking a Senior AI Engineer - MCP (Model Context Protocol) to work on innovative projects. The role requires strong Python skills, familiarity with FastAPI, and experience with AI/LLM frameworks. Candidates should possess problem-solving abilities and the capacity to work both independently and collaboratively. This is a contract position targeting mid-senior level professionals located in the United States.

Qualifications

Strong problem-solving skills and clear communication.
Ability to work independently and collaboratively in a team.

Connaissances

Python skills with proficiency in async/await patterns

Experience with FastMCP, FastAPI and REST API design

Swagger/OpenAPI documentation

Experience with relational databases (SQL)

Key-value stores (Redis)

JWT token handling and OAuth2 flows

Distributed systems concepts

Containerization (Docker)

Cloud & DevOps fundamentals (Azure)

AI/LLM agent frameworks

Azure CI/CD pipelines

Datadog or similar platforms

Vibe coding practices

Outils

Docker

Description du poste

Our client works on very challenging and exciting projects and is looking fora Senior AI Engineer - MCP (Model Context Protocol)

Required Skills

Strong Python skills with proficiency in async/await patterns
Solid experience with FastMCP, FastAPI and REST API design and implementation
Swagger/OpenAPI specification and documentation
Experience with relational databases (SQL) and key-value stores (Redis)
Knowledge of authentication and authorization with JWT token handling and validation, OAuth2 flows
Familiarity with distributed systems concepts / Event-driven architecture
Experience with containerization (Docker)
Understanding of Cloud & DevOps fundamentals (Azure)
Strong problem-solving skills and clear communication
Ability to work independently and collaboratively in a team
Experience with AI/LLM agent frameworks (Langgraph, LangChain, Langfuse etc.)
Familiarity with Azure CI/CD pipelines and GitHub Actions
Knowledge of Datadog or similar observability platforms for logging and monitoring
Prior exposure to "Vibe" coding practices (a plus)