Our client is a company that enables people, enterprises, and cities to harness the power of location. By making sense of the world through the lens of location, it empowers their customers to achieve better outcomes from helping a city manage its infrastructure or an enterprise optimize its assets to delivering drivers to their destination safely.

Project Overview:

Designing the MCP Server for the client's API from scratch.

This project focuses on the development of a robust and scalable MCP server. This server will act as a vital bridge, enabling AI agents and other MCP-compatible clients to intelligently interact with Client's Location APIs.

The goal is to create a reliable, performant, and flexible MCP platform for navigation systems. You will help design and implement MCP servers and clients with LLM/SLM fine-tuning to reduce the latency and cost of the services, with tracing and logging services.

Requirements

• 6+ years of experience in Python and backend development.
• Hands-on experience related to building systems that use LLMs, either RAG systems or MCP servers, which can include technologies like vector databases, LangChain, Fast API.
• Strong understanding of LLMs and their usage (agentic workflows, MCP, and similar).
• Experience with AWS cloud platforms - especially S3, Lambda, SageMaker and BedRock models.
• Knowledge of CI/CD pipelines, automated testing, and modern development practices.
• Strong understanding of software design patterns, data structures, and scalable backend architectures.
• Experience building low-latency, high-performance server-side applications.
• Strong communication and collaboration skills to effectively interact with business stakeholders and technical teams.

Nice to have

• AWS certification regarding AI or DevOps practices.
• LLM/SLM fine tuning experience is great bonus
• Experience using ML evaluation/training frameworks like MLFlow or SageMaker.
• Experience working with containerization (Docker) and orchestration (Kubernetes).
• Exposure model-serving frameworks or LLM inference tools.
• Rust experience is a nice bonus

Responsibilities

• Designing, developing, and maintaining the backend components for the MCP servers
• Implementing the logic to interface with a diverse set of Location APIs, ensuring efficient and reliable data exchange.
• Fine tune LLMs and SLMs depending on the project needs.
• Defining the capabilities and resources that the MCP server will expose to clients, in alignment with the MCP specification.
• Write and maintain logging, tracing, and visualization parts of the project using Langfuse, Prometheus, and Grafana.
• Ensure system performance, reliability, and scalability through clean architecture, testing, and CI/CD practices.
• Participate in architecture and design discussions and contribute to technical documentation.
• Writing clean, well-documented, and testable code to ensure the quality and maintainability of the server.
• Collaborating with cross-functional teams, including product managers and other engineering teams, to define requirements and deliver high-quality solutions.

Why this position:

This is your opportunity to work within the R&D team with cutting-edge technologies in maps and location services domain