What are the responsibilities and job description for the Senior AI Engineer (contract) position at Capgemini?
Capgemini’s customer is looking for a senior AI Engineer to lead IVR and Conversational AI initiatives, designing scalable LLM and NLP solutions for high-volume customer interactions. This role will drive architecture, best practices, and innovation across voice AI systems.
Key Responsibilities
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.
Key Responsibilities
- Architect and develop AI-driven IVR and conversational systems using Python
- Build NLP models for text classification and clustering to support intent detection and call routing
- Perform data analysis using SQL on large-scale IVR and interaction datasets
- Design and deploy LLM workflows (prompt engineering, RAG, evaluation) for voice and chat use cases
- Lead development of agentic AI workflows for multi-step customer interactions
- Establish LLMOps best practices, including monitoring, evaluation, and lifecycle management
- Partner with IVR platform, speech engineering, and product teams
- Mentor offshore and junior AI engineers
- 5 years of experience in AI / ML
- Very strong proficiency in Python
- Proven expertise in NLP, including:
- Text classification
- Clustering
- Strong experience in data analysis using SQL
- Hands-on experience with LLMs:
- Prompt engineering
- Evaluation frameworks
- Retrieval-Augmented Generation (RAG)
- Experience with Agentic AI and multi-agent orchestration
- Experience with LLMOps / MLOps in production environments
- Familiarity with IVR platforms and speech technologies (ASR, NLU, TTS)
- Python / ML: NumPy, Pandas, Scikit-learn, XGBoost
- NLP: spaCy, Hugging Face Transformers, NLTK, Sentence-Transformers
- LLM Frameworks: LangChain, LlamaIndex, OpenAI SDK
- Agentic AI (Good to Have): LangGraph, AutoGen, CrewAI
- Data & SQL: Oracle, MySQL, SQLAlchemy
- Vector Databases: FAISS, Pinecone, Weaviate, Qdrant
- LLMOps / MLOps (Good to Have): MLflow, Weights & Biases, BentoML, Airflow
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 : $47 - $74