35503 HD - MCP Expert

Cephas Consultancy Services Private Limited; California (MO); Hybrid; USD 83,000 - 165,000; Part time

Job summary

Cephas Consultancy Services Private Limited in the United States is seeking a MCP Expert to help train next-generation AI systems by building high-quality real-world input and reinforcement learning environments. You will create environments that test model reasoning and performance, using MCP tools, fixing bugs, implementing features, and refactoring code as needed.

This contract is remote, flexible hours (~15 hours per week), with a start quickly; prior AI experience not required—domain

Qualifications

• Proficiency in C++, Python, Java, Go, TypeScript, or Rust.
• Deep understanding of algorithms, data structures, and performance tuning.
• Demonstrated experience debugging complex software issues and delivering maintainable solutions.
• Strong background in feature development and codebase refactoring.
• Proven ability to optimize software for performance and scalability.
• Exceptional written and verbal communication skills, with a keen attention to detail.
• Track record of success in collaborative, cross-functional teams, ideally in remote settings.

Responsibilities

• Create Reinforcement Learning Environments using MCP tools to test an AI model’s ability to solve complex software engineering problems.
• Design reproducible environments, deterministic verification, and golden reference solutions that measure MCP tool use and software engineering ability.
• Fix bugs, implement features, refactor code, and optimize performance while ensuring environments yield reliable results.

Skills

C++

Python

Java

Go

TypeScript

Rust

Algorithms DS

Perf optimization

Communication

Remote collaboration

Job description

35503 HD - MCP Expert

Cephas Consultancy Services Private Limited Permanent Remote Work, California, United States

About this position

Positions:100 Contract
Experience
5 - 30 Years

Job Title:MCP Expert

Job Type:Contractor (~15 hrs a week)

Location:RemoteSchedule:Flexible, you pick the hours and days (including weekends if desired)

Job Summary:In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.

As an expert you will be creating Reinforcement Learning Environments which test an AI model’s ability to solve complex software engineering problems using Model Context Protocol (MCP) tools. Tasks may involve fixing bugs, implementing features, refactoring code, or optimizing performance while requiring agents to discover and reason over information from real MCP servers. You will design reproducible environments, deterministic verification, and golden reference solutions that accurately measure both MCP tool use and software engineering ability.

Required Skills and Qualifications:

Proficiency inC++, Python, JAVA, GoLang, Typescript, or Rust.

Deep understanding of algorithms, data structures, and performance tuning.

Demonstrated experience in debugging complex software issues and delivering maintainable solutions.

Strong background in feature development and codebase refactoring.

Proven ability to optimize software for performance and scalability.

Exceptional written and verbal communication skills, with a keen attention to detail.

Track record of success in collaborative, cross-functional teams, ideally in remote settings.

Preferred Qualifications:

Previous experience working on large-scale, distributed codebases.

Familiarity with modern AI or machine learning systems is a plus, though not required.

Background in participating in rigorous code reviews and contributing to the development of software best practices.

Compensation StructureCompensation is output-based; experts are paid per task that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow. Minimum submission requirements apply. Experts must submit a minimum of tasks per week.

Start Timeline & AvailabilityWe typically fill roles within 48 hours and are looking for experts ready to jump in right away. If selected, we expect you to start your first tasks within 24–48 hours of completing onboarding.

Skills:Python3, JAVA, Rust, Algorithms, Basics C++, Typescript, bug fixing, feature implementation, codebase refactoring, performance optimization

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