PI
IN-Sr. Associate_ GenAI Developer_Agentic AI & LLM Platforms _AppTech_Advisory_ Kolkata / Bangalore / Mumbai (EARLY joiners)
Accepting applicationsPwC India · Greater Kolkata Area
Full-Time Associate AIPythonaIaiasic
Posted
6d ago
Category
Test
Experience
Associate
Country
N/A
Line of Service
Advisory
Industry/Sector
Not Applicable
Specialism
Operations
Management Level
Senior Associate
Job Description & Summary
At PwC, our people in business application consulting specialise in consulting services for a variety of business applications, helping clients optimise operational efficiency. These individuals analyse client needs, implement software solutions, and provide training and support for seamless integration and utilisation of business applications, enabling clients to achieve their strategic objectives.
As a business application consulting generalist at PwC, you will provide consulting services for a wide range of business applications. You will leverage a broad understanding of various software solutions to assist clients in optimising operational efficiency through analysis, implementation, training, and support.
*Why PWC
At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us.
At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. "
Job Description & Summary: A career within Technology Consulting services will provide you with the opportunity to bring our clients a competitive advantage through defining their technology objectives, assessing solution options, and devising architectural solutions that help them achieve both strategic goals and meet operational requirements. We help build software and design data platforms, manage large volumes of client data, develop compliance procedures for data management, and continually research new technologies to drive innovation and sustainable change.
We are looking for a hands-on GenAI Developer to design, build, test, and deploy Generative AI applications using large language models, retrieval-augmented generation, semantic search, vector databases, prompt engineering, FastAPI-based services, and agentic frameworks. The role will contribute to enterprise chatbots, knowledge assistants, document intelligence, automation agents, code assistants, and AI-led business process automation.
Responsibilities:
GenAI Application Development
· Develop GenAI applications using LLM APIs, prompt templates, structured outputs, RAG pipelines, embeddings, vector search, and tool calling.
· Build conversational AI, enterprise search, document Q&A, summarization, classification, data extraction, and workflow automation use cases.
· Integrate GenAI features with backend applications, portals, APIs, databases, document stores, and enterprise systems.
· Implement prompt orchestration, context management, response formatting, source citation handling, and feedback capture.
RAG, Semantic Search & Knowledge Ingestion
· Build document ingestion pipelines including parsing, OCR coordination, chunking, metadata extraction, embedding generation, indexing, and refresh.
· Implement semantic search and hybrid search using vector databases and search platforms.
· Support retrieval optimization through metadata filtering, chunking strategy, re-ranking, grounding, and citation generation.
· Work with enterprise knowledge sources such as SharePoint, Confluence, Google Drive, S3, databases, CRM, ITSM tools, and document repositories.
Agentic AI Development
· Develop basic to intermediate agentic workflows using LangChain, LangGraph, CrewAI, LlamaIndex, or equivalent frameworks.
· Implement agents with tools, memory, reasoning steps, API actions, and human-in-the-loop checkpoints.
· Build semi-autonomous workflows for business process automation while following safety and approval guardrails.
Backend, API & Data Engineering
· Develop backend services using Python, FastAPI, Node.js, or similar technologies.
· Build REST APIs for LLM orchestration, retrieval, ingestion, evaluation, semantic search, and agent execution.
· Work with SQL and NoSQL databases such as PostgreSQL, MySQL, SQL Server, MongoDB, Cosmos DB, DynamoDB, or equivalent.
· Use Redis or equivalent caching for session state, conversational memory, frequently accessed retrieval results, rate limiting, and workflow state.
· Follow secure coding, logging, exception handling, request validation, OpenAPI documentation, and production deployment practices.
Testing, Evaluation & Observability
· Support prompt testing, LLM response validation, RAG evaluation, regression testing, and hallucination checks.
· Use tools such as LangSmith, Langfuse, RAGAS, DeepEval, TruLens, Promptfoo, or equivalent under guidance.
· Capture logs, traces, token usage, latency, cost, feedback, and quality signals for GenAI applications.
Mandatory skill sets:
CORE GENAI - LLM APIs, prompt engineering, embeddings, RAG, semantic search, vector databases, structured outputs, grounding (Hands-on).
Frameworks - LangChain, LangGraph, CrewAI, LlamaIndex, Langflow (Hands-on).
Backend APIs - Python, FastAPI, Node.js, REST APIs, OpenAPI, async processing (Hands-on).
Data Stores - SQL, NoSQL, vector DB, Redis caching, object storage (Working knowledge).
Cloud AI - Azure OpenAI, AWS Bedrock, GCP Vertex AI, OpenAI, Anthropic Claude, Gemini, Hugging Face (Working knowledge).
Document Processing - PDF, Word, Excel, HTML, OCR, chunking, metadata extraction, indexing (Working knowledge).
Evaluation & Observability - LangSmith, Langfuse, RAGAS, Promptfoo, OpenTelemetry basics (Basic to working knowledge).
Security & Responsible AI - PII handling, access control, prompt injection awareness, content filtering, audit logging (Basic knowledge).
Soft Skills
· Strong problem-solving and analytical thinking.
· Ability to work in agile delivery teams and collaborate with cross-functional stakeholders.
· Good communication and documentation skills.
· Ability to learn and evaluate fast-evolving GenAI tools, frameworks, and patterns.
Preferred skill sets:
Exposure to Kafka or messaging systems for asynchronous processing.
· Exposure to MCP server development, tool integration patterns, or agent-to-tool communication.
· Basic understanding of A2A communication patterns and multi-agent orchestration.
· Familiarity with Docker, CI/CD, GitHub Actions, Azure DevOps, Jenkins, or equivalent.
· Exposure to fine-tuning, SLMs, vLLM, Ollama, or Hugging Face model deployment.
· Frontend integration awareness using React, Angular, Streamlit, Gradio, or similar.
· Domain exposure in banking, healthcare, insurance, retail, telecom, or enterprise operations.
Years of experience required:
5+ years (with 1+ years in GenAI/LLM ecosystems)
Education qualification:
B.E. / B.Tech / MCA/ M.E/ M.TECH/ MBA/ PGDM. All qualifications should be in regular full-time mode with no extension of course duration due to backlogs.
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Bachelor Degree
Degrees/Field of Study preferred:
Certifications (if blank, certifications not specified)
Required Skills
Core Design
Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Analytical Reasoning, Analytical Thinking, Application Software, Business Data Analytics, Business Management, Business Technology, Business Transformation, Communication, Creativity, Documentation Development, Embracing Change, Emotional Regulation, Empathy, Implementation Research, Implementation Support, Implementing Technology, Inclusion, Intellectual Curiosity, Learning Agility, Optimism, Performance Assessment, Performance Management Software {+ 16 more}
Desired Languages (If blank, desired languages not specified)
Travel Requirements
Not Specified
Available for Work Visa Sponsorship?
No
Government Clearance Required?
No
Job Posting End Date
June 16, 2026
Show more Show less
Advisory
Industry/Sector
Not Applicable
Specialism
Operations
Management Level
Senior Associate
Job Description & Summary
At PwC, our people in business application consulting specialise in consulting services for a variety of business applications, helping clients optimise operational efficiency. These individuals analyse client needs, implement software solutions, and provide training and support for seamless integration and utilisation of business applications, enabling clients to achieve their strategic objectives.
As a business application consulting generalist at PwC, you will provide consulting services for a wide range of business applications. You will leverage a broad understanding of various software solutions to assist clients in optimising operational efficiency through analysis, implementation, training, and support.
*Why PWC
At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us.
At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. "
Job Description & Summary: A career within Technology Consulting services will provide you with the opportunity to bring our clients a competitive advantage through defining their technology objectives, assessing solution options, and devising architectural solutions that help them achieve both strategic goals and meet operational requirements. We help build software and design data platforms, manage large volumes of client data, develop compliance procedures for data management, and continually research new technologies to drive innovation and sustainable change.
We are looking for a hands-on GenAI Developer to design, build, test, and deploy Generative AI applications using large language models, retrieval-augmented generation, semantic search, vector databases, prompt engineering, FastAPI-based services, and agentic frameworks. The role will contribute to enterprise chatbots, knowledge assistants, document intelligence, automation agents, code assistants, and AI-led business process automation.
Responsibilities:
GenAI Application Development
· Develop GenAI applications using LLM APIs, prompt templates, structured outputs, RAG pipelines, embeddings, vector search, and tool calling.
· Build conversational AI, enterprise search, document Q&A, summarization, classification, data extraction, and workflow automation use cases.
· Integrate GenAI features with backend applications, portals, APIs, databases, document stores, and enterprise systems.
· Implement prompt orchestration, context management, response formatting, source citation handling, and feedback capture.
RAG, Semantic Search & Knowledge Ingestion
· Build document ingestion pipelines including parsing, OCR coordination, chunking, metadata extraction, embedding generation, indexing, and refresh.
· Implement semantic search and hybrid search using vector databases and search platforms.
· Support retrieval optimization through metadata filtering, chunking strategy, re-ranking, grounding, and citation generation.
· Work with enterprise knowledge sources such as SharePoint, Confluence, Google Drive, S3, databases, CRM, ITSM tools, and document repositories.
Agentic AI Development
· Develop basic to intermediate agentic workflows using LangChain, LangGraph, CrewAI, LlamaIndex, or equivalent frameworks.
· Implement agents with tools, memory, reasoning steps, API actions, and human-in-the-loop checkpoints.
· Build semi-autonomous workflows for business process automation while following safety and approval guardrails.
Backend, API & Data Engineering
· Develop backend services using Python, FastAPI, Node.js, or similar technologies.
· Build REST APIs for LLM orchestration, retrieval, ingestion, evaluation, semantic search, and agent execution.
· Work with SQL and NoSQL databases such as PostgreSQL, MySQL, SQL Server, MongoDB, Cosmos DB, DynamoDB, or equivalent.
· Use Redis or equivalent caching for session state, conversational memory, frequently accessed retrieval results, rate limiting, and workflow state.
· Follow secure coding, logging, exception handling, request validation, OpenAPI documentation, and production deployment practices.
Testing, Evaluation & Observability
· Support prompt testing, LLM response validation, RAG evaluation, regression testing, and hallucination checks.
· Use tools such as LangSmith, Langfuse, RAGAS, DeepEval, TruLens, Promptfoo, or equivalent under guidance.
· Capture logs, traces, token usage, latency, cost, feedback, and quality signals for GenAI applications.
Mandatory skill sets:
CORE GENAI - LLM APIs, prompt engineering, embeddings, RAG, semantic search, vector databases, structured outputs, grounding (Hands-on).
Frameworks - LangChain, LangGraph, CrewAI, LlamaIndex, Langflow (Hands-on).
Backend APIs - Python, FastAPI, Node.js, REST APIs, OpenAPI, async processing (Hands-on).
Data Stores - SQL, NoSQL, vector DB, Redis caching, object storage (Working knowledge).
Cloud AI - Azure OpenAI, AWS Bedrock, GCP Vertex AI, OpenAI, Anthropic Claude, Gemini, Hugging Face (Working knowledge).
Document Processing - PDF, Word, Excel, HTML, OCR, chunking, metadata extraction, indexing (Working knowledge).
Evaluation & Observability - LangSmith, Langfuse, RAGAS, Promptfoo, OpenTelemetry basics (Basic to working knowledge).
Security & Responsible AI - PII handling, access control, prompt injection awareness, content filtering, audit logging (Basic knowledge).
Soft Skills
· Strong problem-solving and analytical thinking.
· Ability to work in agile delivery teams and collaborate with cross-functional stakeholders.
· Good communication and documentation skills.
· Ability to learn and evaluate fast-evolving GenAI tools, frameworks, and patterns.
Preferred skill sets:
Exposure to Kafka or messaging systems for asynchronous processing.
· Exposure to MCP server development, tool integration patterns, or agent-to-tool communication.
· Basic understanding of A2A communication patterns and multi-agent orchestration.
· Familiarity with Docker, CI/CD, GitHub Actions, Azure DevOps, Jenkins, or equivalent.
· Exposure to fine-tuning, SLMs, vLLM, Ollama, or Hugging Face model deployment.
· Frontend integration awareness using React, Angular, Streamlit, Gradio, or similar.
· Domain exposure in banking, healthcare, insurance, retail, telecom, or enterprise operations.
Years of experience required:
5+ years (with 1+ years in GenAI/LLM ecosystems)
Education qualification:
B.E. / B.Tech / MCA/ M.E/ M.TECH/ MBA/ PGDM. All qualifications should be in regular full-time mode with no extension of course duration due to backlogs.
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Bachelor Degree
Degrees/Field of Study preferred:
Certifications (if blank, certifications not specified)
Required Skills
Core Design
Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Analytical Reasoning, Analytical Thinking, Application Software, Business Data Analytics, Business Management, Business Technology, Business Transformation, Communication, Creativity, Documentation Development, Embracing Change, Emotional Regulation, Empathy, Implementation Research, Implementation Support, Implementing Technology, Inclusion, Intellectual Curiosity, Learning Agility, Optimism, Performance Assessment, Performance Management Software {+ 16 more}
Desired Languages (If blank, desired languages not specified)
Travel Requirements
Not Specified
Available for Work Visa Sponsorship?
No
Government Clearance Required?
No
Job Posting End Date
June 16, 2026
Show more Show less