Title: AI Application Engineer (GenAI / RAG) Python
Location: Westlake, TX (Onsite / Hybrid)
Employment Type: FullTime
Compensation: Up to $140,000 base + 20% bonus
Authorization to Work: Applicants must be currently authorized to work in the United States on a fulltime basis. Employer will not sponsor or transfer visas now or in the future.
Job Description
We are seeking an AI Application Engineer to design, build, and integrate Generative AI powered applications using Large Language Models (LLMs) and modern GenAI frameworks. This role focuses on building endtoend AI applications and productionready prototypes, including RetrievalAugmented Generation (RAG) pipelines, conversational interfaces, and intelligent tooling that enhance advisor and engineering workflows.
You will work handson with Python, LLM APIs, vector databases, and GenAI orchestration frameworks to rapidly prototype and operationalize AI solutions in an enterprise environment.
Key Responsibilities
GenAI Application Development
- Build and integrate applications using LLMs (OpenAI, Anthropic, Copilot) and GenAI frameworks
- Develop system prompts, agent workflows, and AIorchestrated tools
- Prototype conversational interfaces, advisor tools, and AI assistants
RAG & Knowledge Systems
- Design and implement RAG pipelines using embeddings and vector search
- Integrate structured and unstructured data from APIs, databases, and document repositories
- Optimize retrieval relevance, latency, and response quality
Data Integration & Automation
- Ingest and consolidate data from REST APIs, enterprise systems, and knowledge sources
- Develop intelligent automation and AIassisted engineering tooling
Prototype Delivery & Experimentation
- Deliver productionready prototypes and proofofconcepts
- Iterate quickly based on stakeholder and user feedback
DevOps & Operationalization
- Package and deploy applications using containers, APIs, and CI/CD pipelines
- Apply monitoring, observability, testing, and secure coding practices
- Ensure alignment with Responsible AI, privacy, and data governance standards
Required Skills & Experience
- Strong Python development experience
- Handson experience building applications with LLMs
- Experience with RAG architectures, embeddings, and vector databases
- Familiarity with LangChain and/or Semantic Kernel
- Experience integrating APIs and heterogeneous data sources
- Understanding of containers and CI/CD pipelines
- Strong problemsolving and communication skills
Nice to Have
- Experience with multimodal AI workflows
- Exposure to AI evaluation, guardrails, or monitoring
- Financial services or enterprise platform experience
Why Join
- Work on real GenAI applications, not researchonly work
- Build AI solutions that directly impact advisor productivity
- Opportunity to shape nextgeneration AI tooling in an enterprise environment
Life at Capgemini:
Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:
- Flexible work
- Healthcare including dental, vision, mental health, and well-being programs
- Financial well-being programs such as 401(k) and Employee Share Ownership Plan
- Paid time off and paid holidays
- Paid parental leave
- Family building benefits like adoption assistance, surrogacy, and cryopreservation
- Social well-being benefits like subsidized back-up child/elder care and tutoring
- Mentoring, coaching and learning programs
- Employee Resource Groups
- Disaster Relief
Disclaimer:
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.
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.
Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
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