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Gen AI/Agentic AI Engineers
Location - Bangalore/Gurugram
Level - Senior Associate
Experience - 4-8 years
Skills & Experience
- Strong background in Python, ML engineering and API development (FastAPIs)
- Knowledge of tokenization libraries and GenAI/NLP techniques (RAG, embeddings, transformers).
- Hands-on with GenAI frameworks (LangChain, LlamaIndex, DSPy) and Agentic AI orchestration (LangGraph, MCP, A2A, AutoGen, etc.).
- Expertise with vector databases, elastic search, unstructured data
- Experience with cloud AI/ML services (AWS, Azure, GCP).
Key Responsibilities
- Design and implement GenAI applications (chatbots, copilots, knowledge assistants).
- Build and manage Agentic AI workflows using orchestration frameworks (LangGraph, Crew AI, MCP, A2A).
- Apply ML/AI techniques (supervised/unsupervised learning, optimization, embeddings, retrieval).
- Integrate AI with enterprise data, APIs, and cloud-native architecture.
- Ensure scalability, security, and cost-effectiveness of deployed solutions.
Key Skills
Ranked by relevance
ai
cloud
aws
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- Posted
- Feb 02, 2026
- Type
- Full-time
- Level
- Mid-Senior
- Location
- Bengaluru
- Company
- PwC India
Industries
IT Services
IT Consulting
Categories
Information Technology
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