Onsite Locations : Dallas, Charlotte, NJ, Phoenix, San Francisco

Job Description

GenAI Backend & Platform Development

• Design, build, and maintain enterprise-grade GenAI-powered backend services using Java (Spring Boot) and cloud-native architectures
• Develop RESTful and event-driven APIs using Spring Boot, Spring WebFlux, and Kafka/streaming platforms

Implement GenAI use cases such as:

• Conversational assistants and copilots integrated into enterprise systems
• Retrieval-Augmented Generation (RAG) pipelines for knowledge-driven applications
• Agent-based automation for workflow execution and decision support
• Integrate LLM services (Azure OpenAI, OpenAI, Anthropic, etc.) into Java-based microservices using secure, scalable patterns

LLM Orchestration & Workflow Engineering

• Build and orchestrate multi-step GenAI workflows using:
• LangChain (via Java/Python interoperability or service-based architecture)
• Custom Java-based orchestration layers and state machines
• Design and manage:
• Tool calling and agent execution frameworks
• Context, memory, and prompt lifecycle management
• Conditional routing, fallback logic, retries, and resilience mechanisms
• Ensure workflows are robust, observable, and production-ready at scale

Cloud-Native & DevOps Engineering

• Develop and deploy services on cloud platforms (Azure preferred) using:
• Containers (Docker) and orchestration (Kubernetes / AKS)
• Managed cloud services for AI, messaging, storage, and security
• Build and maintain CI/CD pipelines using tools such as:
• GitHub Actions / Azure DevOps / Jenkins
• Automated build, test, security scan, and deployment stages
• Apply Infrastructure as Code principles using Terraform, Bicep, or ARM templates
• Ensure high availability, scalability, and cost efficiency of GenAI services

Engineering Excellence & Governance:

• Write clean, maintainable, and testable Java code adhering to SOLID and clean architecture principles
• Implement:
• Unit, integration, and contract tests
• API and workflow-level automated testing
• Monitor and enforce:
• Code quality, security, and compliance standards
• Logging, metrics, and distributed tracing for GenAI services
• Participate in code reviews, design discussions, and architecture governance

Required Qualifications

• Core Engineering Skills
• 5 to 8 years of professional software engineering experience
• Strong expertise in Java, with hands-on experience in Spring Boot / Spring Cloud
• Experience building and operating cloud-native microservices
• Solid understanding of API design, asynchronous processing, and distributed systems'

The base compensation range for this role in the posted location is : [$61087 to $104364]

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.