Location
This role is fully onsite in Atlanta, GA
About the job you're considering
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
Your role
- 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.
Your skills and experience
- 5+ years of software development experience with Python and/or TypeScript/Node.js.
- Hands-on experience building LLM/Generative AI applications.
- Experience with LangChain, LangGraph, Semantic Kernel, or similar frameworks.
- Experience with AI observability, evaluation frameworks, and prompt optimization.
- 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.
Good to have skills
- Knowledge of security, authentication, and access control for AI applications.
- Experience deploying production-grade AI solutions.
The base compensation range for this role in the posted location is: $73,150 to $174,000
Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.
The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.
These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.
It is not typical for candidates to be hired at or near the top of the posted compensation range.
In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.
Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
- Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
- Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
- Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
- Life and disability insurance
- Employee assistance programs
- Other benefits as provided by local policy and eligibility
Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.
