GenAI Developer

Job Description

• Designing and build fault-open-minded infrastructure to carry the Generative AI Ref architecture (RAG Summarization Agent etc). 
• Ensure code is delivered without vulnerabilities by enforcing engineering practices code scanning etc. 
• Build and maintain IAC (terraform/Cloud Formation) CICD (Jenkins) scripts
• CodePipeline uDeploy & GitHub Actions. 
• Partner with our shared service teams like Architecture Cloud Security etc to designing and implement platform solutions. 
• Collaborate with the DS team to develop a self-service internal developer Generative AI platform. Designing and build the Data ingestion pipeline for Finetuning LLM Models. 
• Create templates (Architecture As Code) implementing Ref architecture application s topology. 
• Build a feedback system using HITL for Supervised finetuning.
   

Responsibilities

• Bachelor's degree in Computer Science Computer Engineering or a technical field. 
• 4+ years of experience with AWS cloud. 
• At least 8 years of experience designing and building data-intensive solutions using distributed computing. 
• 8+ years building and shipping software and/or platform infrastructure solutions for enterprises. 
• Experience with CI/CD pipelines Automated Testing Automated Deployments Agile methodologies Unit Testing and Integration Testing tools. 
• Experience with building scalable serverless application (real-time / batch) on AWS stack (Lambda + step function) Knowledge of distributed NoSQL database systems. 
• Experience with data engineering ETL technology and conversation UX is a plus. 
• Experience with HPCs vector embedding and Hybrid/Semantic search technologies. 
• Experience with AWS OpenSearch Step/Lambda Functions SageMaker API Gateways ECS/Docker is a plus. 
• Proficiency in customization techniques across various stages of the RAG pipeline including model fine-tuning retrieval re-ranking and hierarchical navigable small-world graph (HNSW) is a plus. 
• Strong proficiency in embeddings ANN/KNN vector stores database optimization & performance tuning. 
• Extensive programming experience with Python Java. Experience with LLM orchestration frameworks like Langchain LlamaIndex etc. 
• Foundational understanding of Natural Language Processing and Deep Learning. 
• Experience with CI/CD pipelines Automated Testing Automated Deployments Agile methodologies Unit Testing and Integration Testing tools. 
• Excellent problem-solving skills and the ability to work in a collaborative team 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.

Click the following link for more information on your rights as an Applicant 

http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law