AI Developer with LLM, RAG and Python

PwC; Gurugram District, Bengaluru, Hyderabad; On-site; INR 1,500,000 - 2,300,000; Full time

Job summary

PwC in Gurgaon (India) is seeking an experienced AI developer with 4–9 years of experience to design and implement advanced generative AI solutions. You will work on building RAG pipelines, integrating vector databases, and deploying ML models at scale.

Responsibilities include developing REST APIs, optimizing prompts, and leveraging platforms like Vertex AI, Azure AI, or AWS Bedrock. Strong Python and SQL fundamentals are required, with hands-on experience in distributed data processing.

Qualifications

• Experience with Generative AI frameworks and large language models (LLMs).
• Hands-on experience in RAG implementations and vector databases.
• Experience building REST APIs / microservices.
• Familiarity with prompt engineering and LLM optimization.

Responsibilities

• Implement RAG pipelines and integrate vector databases.
• Develop REST APIs / microservices for AI applications.
• Experiment with prompt strategies and LLM optimization techniques.
• Leverage AI platform services (Vertex AI, Azure AI, AWS Bedrock/SageMaker).

Skills

AI Development

Agentic AI

LLM

RAG

CI/CD Deployment

Python

SQL

Tools

FAISS

Pinecone

Weaviate

PySpark

Job description

Exp:4-9 Years

Mandatory skills: AI Development, Agentic AI, LLM, RAG, CI/CD Deployment, Python, SQL.

Location: Kolkata/Hyderabad/Pune/Bangalore/Chennai/Gurgaon

Notice Period: Any

Role & responsibilities

1. Experience with Generative AI frameworks and LLMs (e.g., OpenAI, Gemini, Hugging Face).
2. Hands-on experience in RAG implementation, including:
3. Vector databases (e.g., FAISS, Pinecone, Weaviate)
4. Embedding models and retrieval strategies
5. Experience in building and consuming REST APIs / microservices.
6. Knowledge of PySpark and distributed data processing.
7. Understanding of ML fundamentals (supervised/unsupervised learning, evaluation metrics).
8. Familiarity with prompt engineering and LLM optimization techniques.
9. Experience with AI platform services (e.g., Vertex AI, Azure AI, AWS Bedrock/SageMaker).