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PwC

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3.4

based on 9.1k Reviews

Video summary

2682 PwC Jobs

IN-Manager Senior Agentic Automation Engineer

Pricewaterhouse Coopers Private Limited

3.4

based on 9.1k Reviews

6-10 years

Bangalore / Bengaluru

1 vacancy

IN-Manager Senior Agentic Automation Engineer

PwC

posted 14hr ago

Job Role Insights

Flexible timing

Key skills for the job

Computer Science SAP CO Data Analysis Data Analytics Python Machine Learning

+ 4 more

Job Description

We are seeking an experienced Agentic AI/APA Developer specializing in autonomous agents and Large Language Models (LLMs) to join our team. The ideal candidate will help design, develop, and optimize agents that can perform complex tasks autonomously while maintaining reliability and safety.

Design and implement autonomous agents using LangChain / LangGraph/ Crew.ai / SK / Autogen and other relevant frameworks
Develop and optimize RAG systems for improved information retrieval and response generation
Create robust evaluation frameworks for testing agent performance and safety
Implement monitoring and logging systems for agent behavior
Develop documentation and best practices for agent development
Contribute to the improvement of agent architecture and capabilities
Develop ML pipelines for data processing, model training, and deployment.
Integrate AI solutions with cloud platforms (AWS, Azure, GCP) and production environments.
Optimize prompt engineering, retrievalaugmented generation (RAG), and finetuning strategies.

Required Qualifications

6+ years of experience in automation development, with a focus on Automation Anywhere.
Building and deploying autonomous agents
LangChain/llamaindex or any other similar cloud framework for developing applications
Experience in any agentic platform (ex. Langgraph, Autogen, Crew.AI, BabyAGI etc)
Retrieval Augmented Generation (RAG) systems
Proficiency in Python, TensorFlow, PyTorch, LangChain, LlamaIndex, and OpenAI APIs.
Strong understanding of LLMs (GPT, LLaMA, Claude, Mistral, Gemini, etc.) and finetuning techniques.
Experience in vector databases (FAISS, ChromaDB, Pinecone, Weaviate, etc.) for RAGbased applications.
Handson experience with ML model training, evaluation, and deployment.
Familiarity with Docker, Kubernetes, CI/CD, and MLOps best practices.
Understanding of Transformer based model and deep elarning
Solid understanding of safety principles and best practices
Resolving Hallucinations in the outcomes

Mandatory skill sets

Autonomous agents, LangChain/llamaindex, Langgraph, Autogen, Crew.AI, BabyAGI, (RAG) systems, Python, TensorFlow, PyTorch, LangChain, LlamaIndex, and OpenAI APIs, LLMs, FAISS, ChromaDB, Pinecone, Weaviate, Docker, Kubernetes, CI/CD, and MLOps, AWS, Azure, GCP

Preferred skill sets

Resolving Hallucinations in the outcomes

Employment Type: Full Time, Permanent

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