GenAI Application Engineer
Capgemini
Dallas, TX (In Person)
$106,659 Salary, Full-Time
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Job Description
Onsite Location:
Dallas, TX- Job Description
Key Skills:
- Python LLMs such as OpenAI Anthropic Copilot CICD containers LangChain Semantic Kernell
- Details
- 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 •
Skills Required :
- + 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 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.
- Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees.
- In the U.
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 theU.S., RRSP
in Canada) + Life and disability insurance + Employee assistance programs + Other benefits as provided by local policy and eligibilityImportant 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.
- Disclaimers
- Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace.
code:
436254 Posted on: May 12, 2026Experience Level:
Experienced Professionals Contract Type:
Permanent Location:
New York, NY, US Brand:
Capgemini Professional Community:
Software Engineering Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.Similar remote jobs
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