AI Engineer

Capgemini; Atlanta (GA); On-site; USD 54,000 - 90,000; Full time

Job summary

Capgemini is seeking a hands-on AI Engineer to enhance and optimize an AI platform built on Claude Sonnet and MCP, with a focus on improving AI agents, MCP tools, and enterprise integrations. You will strengthen prompt engineering, context management, response quality, and security, while building scalable RAG solutions and robust monitoring across the deployment stack.

The role requires 3+ years of software development experience with Python and/or TypeScript/Node.js, plus hands-on work with

Qualifications

• 3+ years of software development experience with Python and/or TypeScript/Node.js.
• Hands-on experience building LLM/Generative AI applications.
• Strong understanding of MCP (Model Context Protocol), AI agents, and tool calling.
• Experience with Claude, OpenAI, or similar LLM platforms.
• Experience integrating APIs, databases, and enterprise applications.

Responsibilities

• Enhance and maintain MCP-based AI applications and agents.
• Develop and improve MCP servers, tools, and integrations.
• Integrate AI solutions with enterprise systems, APIs, databases, and knowledge repositories.
• Improve prompt engineering, context management, and response accuracy.
• Build and optimize RAG (Retrieval-Augmented Generation) solutions.
• Implement monitoring, logging, security controls, and performance improvements.
• Troubleshoot AI agent behavior, tool execution, and platform issues.
• Support deployment, testing, and continuous enhancement of AI capabilities.

Skills

Python

TypeScript

Generative AI

MCP

APIs

AI agents

LangChain

LangGraph

Semantic Kernel

Tools

LangChain

LangGraph

Semantic Kernel

Job description

We are seeking a hands‑on AI Engineer to enhance and optimize our existing AI platform built on Claude Sonnet and Model Context Protocol (MCP).

The role focuses on improving AI agents, MCP tools, enterprise integrations, response quality, performance, security, and scalability.

Key Responsibilities:

Enhance and maintain MCP-based AI applications and agents.

Develop and improve MCP servers, tools, and integrations.

Integrate AI solutions with enterprise systems, APIs, databases, and knowledge repositories.

Improve prompt engineering, context management, and response accuracy.

Build and optimize RAG (Retrieval-Augmented Generation) solutions.

Implement monitoring, logging, security controls, and performance improvements.

Troubleshoot AI agent behavior, tool execution, and platform issues.

Support deployment, testing, and continuous enhancement of AI capabilities.

Required Skills:

3+ years of software development experience with Python and/or TypeScript/Node.js.

Hands‑on experience building LLM/Generative AI applications.

Strong understanding of MCP (Model Context Protocol), AI agents, and tool calling.

Experience with Claude, OpenAI, or similar LLM platforms.

Experience integrating APIs, databases, and enterprise applications.

Knowledge of RAG, vector databases, embeddings, and prompt engineering.

Strong debugging, problem‑solving, and communication skills.

Preferred Skills:

Experience with LangChain, LangGraph, Semantic Kernel, or similar frameworks.

Experience with AI observability, evaluation frameworks, and prompt optimization.

Knowledge of security, authentication, and access control for AI applications.

The pay range that the employer in good faith reasonably expects to pay for this position is $41.61/hour - $65.01/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.

Tundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services.

Our success and our clients’ success are built on a foundation of service excellence.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.