What are the responsibilities and job description for the GenAI Developer position at Capgemini?
Position Title : GenAI Developer
Location : Malvern, PA (Hybrid)
Experience : 8 Years
Employee Type : Full Time with Benefits
Job Description:
We are seeking a highly experienced Senior AI/ML Engineer with deep expertise in Natural Language Processing (NLP), Generative AI, and cloud-native ML systems. This role is ideal for someone who has built production-ready intent detection models, NLG systems, and has strong experience with AWS Bedrock, LangChain, and LangGraph. You'll play a key role in architecting and scaling AI-first applications that leverage the latest in LLM, orchestration, and AWS-native services.
Key Responsibilities:
• Design, develop, and deploy intent classification and intent detection models using LLMs and traditional NLP methods.
• Build and optimize Natural Language Generation (NLG) pipelines for chatbot responses, summarization, content creation, or knowledge grounding.
• Architect and implement LangChain and LangGraph based applications for LLM-driven workflows (e.g., autonomous agents, RAG systems).
• Develop scalable machine learning pipelines using the AWS tech stack (e.g., Sagemaker, Lambda, Bedrock, Step Functions, DynamoDB, Athena).
• Integrate and fine-tune foundation models via AWS Bedrock, including Amazon Titan, Anthropic Claude, or Meta Llama.
• Collaborate closely with product managers, ML researchers, and backend engineers to translate business requirements into robust AI solutions.
• Lead experimentation efforts, conduct A/B testing, and ensure continuous evaluation of deployed ML models.
• Mentor junior ML engineers and contribute to best practices in MLOps, model governance, and responsible AI.
Required Qualifications:
• Total 4 to 5 years of experience in machine learning, with a focus on NLP and Generative AI.
• Strong experience building and deploying intent detection, text classification, sequence tagging, and entity recognition models.
• Proficient in LangChain, LangGraph, vector databases (e.g., FAISS, Pinecone), and orchestration of LLM workflows.
• Deep knowledge of AWS Bedrock, Amazon SageMaker, Lambda, DynamoDB, Step Functions, etc.
• Experience working with open-source LLMs (LLaMA, Mistral, Falcon) or commercial APIs (Claude, GPT-4, etc.).
• Proficient in Python, with a solid grasp of ML frameworks such as PyTorch, HuggingFace Transformers, scikit-learn.
• Strong understanding of MLOps practices including model versioning, CI/CD for ML, monitoring, and auto-scaling.
• Bachelor's or Master's in Computer Science, Data Science, or a related field.
Nice to Have:
• Experience integrating RAG (Retrieval-Augmented Generation) systems at scale.
• Familiarity with vector search using Amazon OpenSearch, Pinecone, or Weaviate.
• Experience with streaming data processing (e.g., AWS Kinesis, Kafka).
• Contributions to open-source AI/ML or NLP projects."
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
