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Generative AI Platform Engineer

2 months ago

Hartford, United States Capgemini Full time

Job Title: Generative AI Platform Engineer


Job Description:

This role requires versatility and expertise across a wide range of skills. Someone with a diverse background/experience and an engineer at heart will fit into this role seamlessly. The Generative AI team is comprised of a multiple cross-functional group that works in unison and ensures a sound move from our research activities to scalable solutions. You will collaborate closely with our cloud, security, infrastructure, enterprise architecture, and data science team to conceive and execute essential functionalities.


Responsibilities:

  • Design and build fault-tolerant infrastructure to support 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 design and implement platform solutions.
  • Collaborate with the DS team to develop a self-service internal developer Generative AI platform.
  • Design 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.


Qualifications:

  • Bachelor's degree in Computer Science, Computer Engineering, or a technical field.
  • 4-6+ years of experience with AWS cloud.
  • 7-12+ years of experience designing and building data-intensive solutions using distributed computing.
  • 7-12+ 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.
  • Excellent problem-solving skills and the ability to work in a collaborative team environment.
  • Excellent communication skills.


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


About Capgemini

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of 22.5 billion.

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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.