GenAI Application Engineer

Key Skills: Python LLMs such as OpenAI Anthropic Copilot CICD containers LangChain Semantic Kernell, As a GenAI Application Engineer, you will design, develop, and deploy intelligent applications leveraging advanced LLMs and generative AI technologies. You will deliver end-to-end solutions, implement RAG architectures, integrate diverse data sources, and build high-quality prototypes for next-generation Advisor Assistance tools.

Primary Responsibilities

• Build and integrate applications using LLMs multimodal models and GenAI frameworks
• Develop RAG pipelines embeddings vector search and knowledge integrations
• Develop AI automation intelligent tooling and AIassisted engineering practices
• Build production ready prototypes that enhance and streamline workflows
• Develop RAG Architectures Knowledge Systems
• Integrate structured and unstructured content from internal and external systems
• Optimize retrieval performance latency relevance and RAG evaluation metrics
• Data Integration Ingestion
• Gather and consolidate data from diverse sources such as REST APIs databases enterprise systems and document repositories
• LLM Driven Application Development
• Implement system prompts agent architectures multimodal workflows and AI orchestrated tools
• Prototype conversational interfaces advisor systems and AI assistants
• AI Engineering Automation
• Develop intelligent tooling agents and automation to augment engineering workflows
• Embed Gen AI features into existing processes to enhance productivity and decision making
• Prototype Delivery Experimentation
• Design and deliver production ready prototypes and proofs of concept demonstrating feasibility and business value
• Iterate quickly based on user and stakeholder feedback
• DevOps Security and Operationalization
• Package and deploy applications using containers APIs and CICD pipelines
• Apply monitoring observability testing and secure coding practices
• Ensure compliance with Responsible AI privacy and data governance standards

Do you have experience in Python?, * Expertise in Python

• LLMs exposure to Open AI or Anthropic
• Agentic framework like Lang Chain or Lang graph
• Develop RAG pipelines embeddings vector search and knowledge integrations

Pulled from the full job description

• 401(k)
• Health insurance
• Paid time off
• Vision insurance
• Dental insurance
• Employee assistance program
• Disability insurance, The base compensation range for this role in the posted location is: [$86129 to $127189]

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.

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world., Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.