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Generative AI Developer - Senior Associate

PricewaterhouseCoopers Service Delivery Center (Bangalore) Private Limited

Full time
Experience
5+ years
Location
India
Work mode
Not stated
Salary
₹11L – ₹24L a year estimatetypical for IT Jobs in India, 962 posts
Posted 1 day ago Last checked 2 hr ago

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Role at a glance

You will
  • The Senior Associate – Generative AI Developer will design, develop, and rigorously test end-to-end Generative AI and agentic AI…
  • This role requires hands-on expertise with LLM APIs, RAG pipelines, prompt engineering, and multi-agent frameworks, combined with a…
  • LLM & GenAI Development:
Experience
5+ years
Must-have skills
AWSGoogle Cloud Platform (GCP)MLOpsMicrosoft AzurePython

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Job description

Location: India

**Industry/Sector**

Not Applicable

**Specialism**

Oracle

**Management Level**

Senior Associate

**Job Description & Summary**

**Job Title: Senior Associate – Generative AI Developer**

**Experience:**

5+ years of total IT experience, including 2–3 years in AI/ML or Generative AI development. Must have hands-on experience building, testing, and deploying LLM-based or agentic AI applications in production or pilot settings.

**Role Overview:**

The Senior Associate – Generative AI Developer will design, develop, and rigorously test end-to-end Generative AI and agentic AI applications. This role requires hands-on expertise with LLM APIs, RAG pipelines, prompt engineering, and multi-agent frameworks, combined with a disciplined approach to **testing, performance monitoring, and optimization**.

**Key Responsibilities:**

  • **LLM & GenAI Development:**

Design, develop, and maintain LLM-powered applications using APIs such as OpenAI, Azure OpenAI, Anthropic, or Cohere. Implement core GenAI workflows including summarization, classification, Q&A, and content generation.

  • **Agentic AI Implementation:**

Build and orchestrate multi-agent systems using frameworks like **CrewAI, LangGraph, OpenAI Agents SDK, or Azure AI Agent Framework**. Implement inter-agent communication, task routing, and tool orchestration for complex workflows.

  • **RAG & Embedding Pipelines:**

Implement retrieval-augmented generation pipelines involving embedding creation, chunking, and vector indexing using **FAISS, Pinecone, Chroma, or Milvus**. Ensure efficient retrieval for context-aware outputs.

  • **Prompt Engineering & Techniques:**

Apply advanced prompting strategies such as **Few-Shot Learning, Chain-of-Thought (CoT), ReAct, and CART** to improve reliability and interpretability of model responses.

  • **Testing & Validation:**

Establish automated and manual testing pipelines using **TruLens**, **LangSmith**, **PromptLayer**, or **DeepEval** to evaluate model quality, accuracy, safety, and factual grounding.
Define and track metrics such as coherence, hallucination rate, and response diversity.

  • **Performance Monitoring & Optimization:**

Implement cost-effective token management and model observability using logging and tracing frameworks. Continuously optimize prompts, retrieval logic, and memory mechanisms to improve efficiency.

  • **Data Analysis & Preparation:**

Conduct EDA and pre-processing of textual datasets to ensure quality input for training, evaluation, and fine-tuning tasks.

  • **Documentation & Collaboration:**

Create detailed design documents, maintain experiment logs, and collaborate with architects, data scientists, UI/UX engineers, and product managers to ensure solution alignment with business goals.

  • **Continuous Learning:**

Stay up to date with new model releases (OpenAI GPT, Claude, Gemini, Mistral, LLaMA, etc.) and frameworks in the GenAI and agentic AI ecosystem.

**Key Skills & Competencies:**

  • Strong proficiency in **Python**, **LangChain**, **LlamaIndex**, **CrewAI**, and **LangGraph**
  • Deep understanding of **LLM architectures**, **tokenization**, **embedding models**, and **vector databases**
  • Experience with **prompt testing and evaluation frameworks** (TruLens, LangSmith, PromptLayer, DeepEval)
  • Familiarity with **bias mitigation**, **safety testing**, and **Responsible AI** principles
  • Knowledge of **MLOps/LLMOps** practices for deploying and monitoring AI models
  • Strong analytical mindset, documentation discipline, and collaborative approach
  • Exposure to at least one major cloud AI platform (**Azure**, **AWS**, **GCP**, or **OCI**)

**Preferred Background:**

  • Prior experience in building chatbots, intelligent assistants, summarizers, or document automation solutions using LLMs
  • Familiarity with open-weight model experimentation (LLaMA, Mistral, Falcon, etc.)
  • Exposure to **multi-modal AI** (text, image, code) and integration with enterprise data sources
  • Experience supporting GenAI projects through testing, benchmarking, and performance optimization

**Travel Requirements**

Not Specified

**Job Posting End Date**

Are you ready to make a difference?

Want to unlock new value by applying your unique perspective and talents? You can grow exponentially at PwC. Here, you can uncover hidden talents, build lifelong relationships rooted in trust and empathy and turn challenges into opportunities for innovation. We’ll help you grow your skills through challenging, meaningful work so you can go further.

Job data: Headcount Labs (headcountlabs.com), ODbL 1.0. The job description belongs to the employer. Location data © OpenStreetMap contributors and Overture Maps.

Key skills

Required

AWSGoogle Cloud Platform (GCP)MLOpsMicrosoft AzurePython

Job market insights

2,735active AWS jobs in India
1,575active Google Cloud Platform (GCP) jobs in India
260active MLOps jobs in India
₹11L – ₹24L advertised yearly salary for IT Jobs in India (middle half of 962 posts that show a salary; median ₹17L)

Jobs asking for AWS in India also ask for

  • Microsoft Azure56%
  • Python55%
  • Google Cloud Platform (GCP)46%
  • CI/CD43%
  • Kubernetes35%

From live job posts on CoreHRx, updated 6 Nov 2026. Skill figures count posts that list their skills; salary figures only posts that show a salary.

Questions about this job

What is the salary for this Generative AI Developer - Senior Associate job?

The post does not state the pay. As an estimate, comparable posts on CoreHRx advertise ₹11L – ₹24L a year (typical for IT Jobs in India, 962 posts).

How much experience does this job need?

The post asks for 5 Yrs experience.

What kind of job is this?

It is a full time job.

This page is for Indian job seekers preparing for cloud engineer, DevOps, backend and solutions architect roles that list AWS as a skill, whether you are a fresher with a first certification or an experienced engineer moving into a senior role. It covers 60 questions in three levels: core services and concepts, then design and configuration choices for one to three years of experience, and finally scenario, security, cost and troubleshooting questions asked in senior rounds. Read each answer, explain it aloud in your own words, and try the CLI commands in a practice account with a billing alert set.

Questions you may be asked

  1. What is the difference between an AWS Region and an Availability Zone?
  2. Explain the AWS shared responsibility model.
  3. What is Amazon EC2, and how do you read an instance type name like m7g.large?
  4. What is Amazon S3, and what are its main storage classes?

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