AI Engineer+Fullsctack Develover-Senior Associate

PwC; Kolkata District, Hyderabad, Bengaluru; Ibrido; INR 2.500.000 - 4.500.000; Tempo pieno

Descrizione del lavoro

PwC seeks an AI Engineer with full-stack experience and 4-8 years of hands-on expertise across ML/DL, Generative AI, and agentic AI. You will build LLM-powered applications, implement RAG architectures, and deploy AI solutions using PyTorch, TensorFlow, and Hugging Face.

Experience with LangGraph/LangChain and cloud-native stacks is required. The role covers both backend and frontend work, including REST APIs, microservices, and frontend frameworks like React or Angular, with strong emphasis on

Competenze

• 4-8 years of AI engineering experience with full-stack exposure.
• Hands-on with ML/DL/Generative AI and production deployments.
• Experience building LLM-powered applications using multiple models/platforms.
• Proficient in Python and one of Java/TypeScript for backend/frontend work.

Mansioni

• Design and develop AI-powered software solutions end-to-end.
• Implement MLOps, CI/CD, security, and production monitoring.
• Build and evaluate AI agents and multi-agent systems.

Conoscenze

Machine learning

Deep learning

Generative AI

Agentic AI

LLM-powered apps

RAG architectures

AI agents

AI evaluation frameworks

AI observability

Full-stack development

Cloud engineering

MLOps/DevOps

Strumenti

PyTorch

TensorFlow

Scikit-learn

Hugging Face

Claude

GPT

LangGraph

LangChain

CrewAI

AutoGen

Docker

Kubernetes

REST APIs

React

Angular

Descrizione del lavoro

We are looking for AI Engineer with full stack experience for 4-8 years of experience,

Location-Bangalore/Hyderabad/Gurgaon/Kolkata/Pune/Chennai.

• Strong hands-on experience in Machine Learning, Deep Learning, Generative AI, and Agentic AI, with proven production implementations.
• Experience building, training, fine-tuning, evaluating, and deploying ML models using PyTorch, TensorFlow, Scikit-learn, and Hugging Face.
• Hands-on experience developing LLM-powered applications using Claude, GPT, open-source models, and enterprise AI platforms.
• Strong experience implementing RAG architectures, embeddings, vector databases, semantic search, and context engineering.
• Proven experience designing and building AI agents and multi-agent systems using LangGraph, LangChain, CrewAI, AutoGen, or equivalent frameworks.
• Strong understanding of AI agent harness architecture, including execution loops, context management, tool permissions, guardrails, and error recovery.
• Experience building AI evaluation frameworks covering LLM-as-a-Judge, RAG quality, hallucination detection, agent task success, and tool-call accuracy.
• Hands-on experience with AI observability and evaluation tools such as LangSmith, Langfuse, Ragas, DeepEval, or Arize Phoenix.
• Mandatory full-stack development experience with Python, Java/TypeScript, REST APIs, microservices, and frontend frameworks such as React or Angular.
• Mandatory cloud engineering experience with AWS, Azure, or GCP, including Docker, Kubernetes, serverless architectures, and cloud-native deployments.
• Strong experience in MLOps, DevOps, CI/CD, Terraform, automated testing, security, and production monitoring for AI applications.