Candidates must be authorized to work in the United States without current or future employer sponsorship.
We are seeking a hands-on GenAI / Agentic AI Developer to build next-generation AI-powered applications leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and multi-agent architectures.
The ideal candidate has experience designing, developing, and deploying enterprise-grade GenAI solutions that integrate AI agents, APIs, enterprise data sources, vector databases, and cloud platforms. This role requires strong Python development skills combined with practical experience building production-ready AI applications.
Key Responsibilities
- Design and develop GenAI applications using LLMs, RAG, agent frameworks, and tool-calling architectures.
- Build and orchestrate multi-agent workflows including planner, retriever, executor, validator, and human-in-the-loop agents.
- Develop scalable backend services using Python, FastAPI, Flask, REST APIs, and microservices.
- Implement document ingestion, embeddings, vector search, reranking, and retrieval pipelines.
- Integrate AI solutions with enterprise applications, APIs, databases, knowledge bases, and document repositories.
- Deploy and support GenAI applications using Docker, Kubernetes, CI/CD, and cloud-native services.
- Implement monitoring, evaluation, logging, prompt management, and LLMOps best practices.
- Collaborate with business and technical stakeholders to deliver measurable business value through AI solutions.
Required Qualifications
- 5+ years of hands-on Python development experience.
- Experience building and deploying GenAI or Agentic AI applications.
- Hands-on experience with one or more of the following:
- LangGraph
- LangChain
- AutoGen
- CrewAI
- Semantic Kernel
- LlamaIndex
- Strong understanding of:
- Retrieval-Augmented Generation (RAG)
- Embeddings
- Vector databases
- Semantic search
- Prompt engineering
- Experience with one or more vector platforms:
- OpenSearch
- Pinecone
- Chroma
- FAISS
- Weaviate
- Milvus
- Azure AI Search
- pgvector
- Experience with Azure OpenAI, AWS Bedrock, OpenAI, Anthropic Claude, Gemini, Llama, or similar platforms.
- Experience developing REST APIs and cloud-native applications.
Preferred Qualifications
- Multi-agent orchestration and autonomous workflow design.
- GraphRAG, MCP, Neo4j, knowledge graphs, or entity extraction.
- LLMOps tools such as:
- LangSmith
- MLflow
- Phoenix
- Ragas
- TruLens
- Arize
- Experience with:
- Azure AI Foundry / Azure OpenAI
- AWS Bedrock / SageMaker
- Google Cloud Platform Vertex AI
- Knowledge of AI security, guardrails, prompt injection prevention, responsible AI, and PII protection.
Required Interview Discussion
Candidates must be able to clearly articulate at least one end-to-end GenAI or Agentic AI project, including:
- Business problem
- Solution architecture
- LLMs and frameworks used
- RAG and retrieval strategy
- Deployment approach
- Evaluation methodology
- Business outcomes and impact
About Capgemini:
Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of 22.1 billion.
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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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: KANBAY
- Position Id: 9018679
- Posted 30+ days ago
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