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Gen AI Developer

Title : Gen AI DeveloperLocation : New Brunswick, New Jersey, United StatesType : Full time ( no C2c or C2h)Job Description:Core Responsibilities• Design and implement end-to-end GenAI solutions using AWS Bedrock, incorporating foundation models like Claude and Titan, etc.• Develop and optimize prompt engineering strategies for various use cases and business requirements• Create and maintain vector search solutions using AWS OpenSearch and other vector databases• Implement and manage knowledge bases using Amazon Kendra for enterprise search solutions• Design and deploy serverless architectures using AWS Lambda and ECS for AI applications• Develop and maintain Infrastructure as Code using CloudFormation• Implement secure and scalable database solutions using RDS PostgreSQL• Configure and manage IAM roles and permissions for secure AI service access• Build RESTful APIs and microservices for AI application integration• Design and implement NLP pipelines using AWS Comprehend & Guardrails• Create automated testing frameworks for AI applications• Develop cost optimization strategies for AI service usage• Lead proof-of-concept development for innovative AI solutions• Implement automated model evaluation frameworks• Design and maintain model serving architectures• Create model monitoring and alerting systems• Develop custom metrics for AI system performance• Implement model governance frameworksRequired Technical Skills• 5+ years of experience in software development with Python• 3+ years of hands-on experience with AWS services• Deep expertise in:o AWS Bedrock and foundation models (Claude, Titan, etc.)o Vector databases and embedding modelso Amazon Kendra implementation and optimizationo OpenSearch configuration and managemento AWS CloudFormation and Infrastructure as Codeo Serverless architectures (Lambda, ECS)o IAM security and best practiceso RDS PostgreSQL database design and optimizationo AWS Step Functions for AI workflowso AWS API Gateway configurationo AWS Secrets Manager and Parameter Storeo AWS Comprehend and Guardrailso Amazon CloudWatch for monitoring AI applicationso Container orchestration with ECS/EKSo AWS Glue for ETL processeso Amazon Athena for data analysiso AWS Auto Scaling configurationso Amazon ECR for container registryEssential Knowledge Areas• Advanced understanding of prompt engineering techniques and best practices• Comprehensive knowledge of LLM capabilities, limitations, and optimal use cases• Experience with RAG (Retrieval-Augmented Generation) implementations• Expertise in vector similarity search and semantic search concepts• Strong understanding of AI/ML deployment patterns and architectures• Knowledge of AI security best practices and responsible AI principles• Expertise in AI model evaluation and performance metrics• Understanding of AI model governance and compliance requirements• Knowledge of AI/ML cost optimization techniques• Understanding of AI data privacy and security considerations• Experience with AI model monitoring and debugging• Expertise in model serving architectures• Knowledge of PII detection and redaction• Expertise in implementing AI Guardrails• Knowledge of model performance optimization• Expertise in data preprocessing pipelines• Understanding of model evaluation metrics• Understanding of model governance frameworksLife at CapgeminiCapgemini 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 ReliefDisclaimerCapgemini 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.Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law
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What You Should Know About Gen AI Developer, Capgemini

Join Capgemini as a Gen AI Developer in New Brunswick, NJ, where you'll be at the forefront of creating innovative AI solutions. In this full-time position, you will design and implement end-to-end Gen AI applications using advanced tools like AWS Bedrock and foundational models such as Claude and Titan. Your role will involve not just prompt engineering for specific business needs, but also developing and maintaining vector search solutions with AWS OpenSearch for enhanced data retrieval. As you'll handle serverless architectures through AWS Lambda and ECS, your work will directly impact how AI applications are deployed and managed. You'll also dive deep into knowledge management with Amazon Kendra and create RESTful APIs to integrate AI seamlessly into our systems. Not only will you design and maintain secure database solutions using RDS PostgreSQL, but you’ll also have the opportunity to lead proof-of-concept developments for cutting-edge AI advancements. If you have a passion for deep AI technical expertise, especially with AWS services, and enjoy driving innovative solutions, then this is the role for you. Capgemini offers a vibrant and flexible work culture, focusing on your well-being and career growth. Come accelerate your career with us and be part of something amazing!

Frequently Asked Questions (FAQs) for Gen AI Developer Role at Capgemini
What are the primary responsibilities of a Gen AI Developer at Capgemini?

As a Gen AI Developer at Capgemini, your main responsibilities will include designing AI solutions using AWS Bedrock, engineering prompts for various use cases, maintaining vector search solutions with AWS OpenSearch, and implementing secure database solutions using RDS PostgreSQL. You'll also develop RESTful APIs and serverless architectures, making sure AI applications are efficient and effective.

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What qualifications do I need to apply for the Gen AI Developer position at Capgemini?

To apply for the Gen AI Developer position at Capgemini, you should have over 5 years of software development experience, particularly with Python, and at least 3 years of hands-on experience with AWS services. Expertise in AWS Bedrock, vector databases, OpenSearch, and security best practices is also required.

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What programming languages and tools are essential for the Gen AI Developer role at Capgemini?

For the Gen AI Developer role at Capgemini, proficiency in Python is essential, along with experience in AWS technologies like AWS Bedrock and RDS PostgreSQL. Familiarity with other tools such as AWS Lambda, ECS for serverless architectures, and OpenSearch for vector search solutions is also critical for success in this position.

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What kind of projects will a Gen AI Developer work on at Capgemini?

A Gen AI Developer at Capgemini will work on various innovative AI projects including the design of NLP pipelines, implementation of model governance frameworks, and development of custom metrics for monitoring AI application performance. You'll also lead proof-of-concept projects, allowing you to explore and create pioneering AI solutions.

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Does Capgemini offer any career development opportunities for Gen AI Developers?

Yes, Capgemini places a strong emphasis on career development, offering mentoring, coaching, and various learning programs for Gen AI Developers. Employees can also participate in employee resource groups and take advantage of flexible work arrangements to support their careers.

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Common Interview Questions for Gen AI Developer
Can you explain your experience with AWS Bedrock and how it relates to your role as a Gen AI Developer?

In answering this question, highlight specific projects where you utilized AWS Bedrock for generating AI applications. Discuss the challenges faced, the solutions you implemented, and how it impacted your overall project. This shows your practical experience and understanding of key tools.

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What are some prompt engineering techniques you've successfully implemented?

Share specific examples of prompt engineering strategies you’ve developed. Discuss the context, the challenges you faced, and how your approaches improved the AI system's performance. Providing this insight can demonstrate your expertise and problem-solving skills.

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How do you approach designing serverless architectures for AI applications?

Discuss how you analyze project requirements, choose the right AWS services, and design scalable solutions using AWS Lambda and ECS. Giving a step-by-step breakdown of your process can illustrate your methodical approach to architecture design.

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What experience do you have with implementing knowledge bases using Amazon Kendra?

When discussing your experience with Amazon Kendra, focus on the projects where you developed knowledge bases. Talk about the integration process and how it improved user experience and data retrieval, which reflects your hands-on capability.

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How do you ensure security best practices while working with AWS services?

Explain your understanding of IAM roles and permissions, and how you apply them to secure your applications. Highlight your familiarity with security best practices in AWS and how you proactively identify and mitigate any potential security risks.

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What is your strategy for database optimization in AWS RDS PostgreSQL?

Discuss your methods for database performance tuning, including indexing, query optimization, and using appropriate data types. A detailed account of your strategy showcases your technical depth and decision-making skills in database management.

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Can you describe a challenging project you’ve led as a Gen AI Developer?

Choose a specific project that had significant challenges and explain the steps you took to overcome them. Discussing lessons learned and how your leadership impacted the project can demonstrate your expertise and resilience.

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What role does model governance play in your AI development process?

Outline the key elements of model governance you consider, like compliance, ethical AI principles, and performance monitoring. This shows your awareness of how governance contributes to the overall reliability and efficiency of AI implementations.

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How do you develop testing frameworks for AI applications?

Share your approach to creating automated testing frameworks, including the tools you use and your methodologies. Highlight the importance of testing in ensuring AI application performance, demonstrating your quality assurance focus.

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What innovative AI solutions have you proposed in previous roles?

Speak about specific innovations you introduced, detailing the impact they had on the projects or company. Discussing your innovative thinking can illustrate your creativity and forward-thinking capabilities in AI development.

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Capgemini partners with companies to transform and manage their business by unlocking the value of technology.

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DATE POSTED
December 21, 2024

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