What are the responsibilities and job description for the GenAI Engineer position at capgemini?
We are seeking a Senior AI GenAI Engineer with strong experience in machine learning generative AI and enterprise scale AI platform development The ideal candidate should have hands-on experience building production grade AI systems including Retrieval Augmented Generation RAG platforms vector search pipelines autonomous AI agents and scalable ML model deployment
The role requires expertise in Python based ML development LLM frameworks vector databases and AI orchestration frameworks such as LangChain LangGraph and Hugging Face
Provide this skill matrix for all profile submissions
GenAI Engineer Skill Competency Handson experience in years Enter 0 if you have theoretical knowledge Rating 110
10 Highest
Python
RAG Vector DB Chunking Embedding
Data Preprocessing
Prompt Engineering
GenAI Models Familiarity
Framework Libraries LangChain Hugging Face Langgraph similar framework builds autonomous loop
Azure Cloud Computing OpenAI services
API Integration and Development
Gen AI solution built for enterprise solutions Not POC Educational Personal
Mandatory In person interview in GA or NY Enter Yes to confirm
Required Skills:
Mandatory In person interview in GA or NY
Experience with enterprise level projects only No college Educational POC Projects
Programming:
Strong Python development experience 7 years
Generative AI:
Handson experience with RAG Vector DB Embeddings and document chunking Semantic search pipelines
AI Frameworks:
Experience with LangChain LangGraph and Hugging Face
Data Processing:
Experience with Pandas NumPy and data preprocessing pipelines
Integration:
Experience deploying ML models as REST APIs and integrating AI with enterprise systems
Preferred Skills:
Experience with Natural Language Processing NLP and Deep Learning
Familiarity with Transformers and Large Language Models LLMs
Experience with Cloud ML platforms such as Azure AI AWS SageMaker etc
Nice to Have:
Experience building AI agents or autonomous systems
Knowledge of vector databases Pinecone Weaviate Milvus FAISS
Experience with MLOps practices Docker and Kubernetes
Exposure to multimodal AI systems
The pay range that the employer in good faith reasonably expects to pay for this position is $33.29/hour - $52.01/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.
Tundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.
Salary : $33 - $52