Python Backend Engineer (MCP/AI)

TENSOR AI SINGAPORE PTE. LTD.; Singapore; On-site; SGD 70,000 - 90,000; Full time

Job summary

A technology firm in Singapore is seeking a backend developer to architect MCP services for seamless context exchange. The role requires over 3 years of experience in Python backend systems and proficiency in asyncio and FastAPI. Key responsibilities include implementing secure gateways and developing a JSON-RPC interface layer. This role offers an opportunity to work in a cutting-edge environment focused on low-latency systems and scalability.

Qualifications

• 3+ years of experience delivering Python backend systems.
• Proficient in asyncio, FastAPI, pydantic, and high-performance libraries.
• Strong background in distributed caching and messaging systems.

Responsibilities

• Architect backend MCP services for context exchange.
• Implement secure multi-tenant gateways with dynamic routing.
• Develop a unified tool invocation layer exposing JSON-RPC interfaces.

Skills

Python backend systems

asyncio

FastAPI

pydantic

high-performance libraries

distributed caching

Redis Streams

messaging systems

Kafka

PostgreSQL tuning

authorization/authentication protocols

OAuth 2.0

JWT

SAML

container orchestration

CI/CD practices

Docker

Kubernetes

Job description

Responsibilities

• Architect backend MCP services to enable seamless context exchange between browsers and LLMs.
• Implement secure multi-tenant gateways with dynamic API key routing, request-level caching, and adaptive throughput control.
• Develop a unified tool invocation layer exposing JSON-RPC interfaces and integrating with Chromium extensions.
• Collaborate with frontend and browser teams to ensure ultra-low-latency MCP signaling (<100 ms) and support 10K+ QPS scalability.
• Evolve MCP specifications aligned with open-source developments and maintain backward compatibility.

Requirements

• 3+ years of experience delivering Python backend systems, proficient in asyncio, FastAPI, pydantic, and high-performance libraries.
• Strong background in distributed caching (e.g., Redis Streams), messaging systems(Kafka, Pulsar), and PostgreSQL tuning.
• Hands-on expertise in authorization/authentication protocols (OAuth 2.0, JWT, SAML) and multi-tenant isolation strategies.
• Skilled in container orchestration and CI/CD practices using Docker and Kubernetes.
• Demonstrated ability to interpret and implement English-language technical documentation and community contributions.

Preferred Qualifications

• Contributions to MCP or related official repositories.
• Experience with Chromium Extension / Native Messaging, WebSocket, and Chrome DevTools Protocol.
• Experience building Agent backend systems (e.g., AutoGPT, Copilot, ChatGPT Plugin).
• Familiarity with LLM inference acceleration (vLLM, TensorRT-LLM) or prompt caching optimization.