GenAI Senior Engineer

Pi Square Technologies; Hyderabad, Pune District, Bengaluru; Híbrido; INR 2.400.000 - 4.200.000; Jornada completa

Descripción de la vacante

Pi Square Technologies in India is seeking a Senior Generative AI Developer to design, develop, and deploy enterprise-grade GenAI solutions using LLMs, LangChain, LangGraph, Python, and AWS Bedrock.

You will build scalable AI applications, create agentic workflows, implement robust prompt engineering, and integrate AI with enterprise systems, APIs, and data stores, while ensuring governance and observability.

Formación

• Hands-on experience in GenAI applications using Python
• Strong experience with LLMs including model selection, fine-tuning concepts, prompts
• LangChain orchestration, tool integration, memory management, and agent development
• LangGraph for multi-agent, stateful AI workflows
• RAG architectures and integrations with vector stores
• AWS Bedrock and foundation model integration
• Vector databases and embeddings for semantic search and document processing
• REST APIs and microservices using FastAPI or similar Python frameworks
• Cloud-native deployment on AWS and governance considerations
• AI observability, evaluation, guardrails, and responsible AI practices
• Model observability and evaluation frameworks
• Analytical and problem-solving abilities

Responsabilidades

• Design and develop enterprise-scale GenAI solutions leveraging LLMs and AWS Bedrock
• Build intelligent RAG-based applications and conversational AI assistants
• Develop multi-agent workflows using LangGraph and LangChain
• Optimize prompts, retrieval mechanisms, and model performance for business use cases
• Integrate AI solutions with enterprise systems, APIs, and knowledge repositories
• Establish AI application monitoring, evaluation, and governance practices
• Collaborate with architects, product owners, and business stakeholders to deliver AI-powered capabilities
• Mentor junior developers and provide technical leadership on GenAI initiatives

Conocimientos

GenAI

Python

LangChain

LangGraph

AWS Bedrock

LLMs

RAG

Embeddings

REST APIs

AWS Cloud

Herramientas

OpenSearch

Pinecone

ChromaDB

FAISS

Weaviate

FastAPI

Descripción del empleo

Job Location- Bangalore / Hyderabad / Chennai / Pune

Must have skills which are non-negotiable

• GenAI
• Python
• Lang Chain
• LangGraph
• AWS Bedrock

We are looking for a highly skilled Senior Generative AI Developer with strong expertise in designing, developing, and deploying enterprise-grade GenAI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), LangChain, LangGraph, Python, and AWS Bedrock.

The ideal candidate should have experience building scalable AI applications, agentic workflows, prompt engineering frameworks, and integrating LLM-powered solutions with enterprise platforms.

Required Skills

• Hands-on experience in developing Generative AI applications using Python
• Strong experience working with Large Language Models (LLMs), including model selection, fine-tuning concepts, prompt engineering, and evaluation
• Hands-on expertise in LangChain for AI orchestration, tool integration, memory management, and agent development
• Strong experience with LangGraph for building multi-agent and stateful AI workflows
• Experience designing and implementing Retrieval-Augmented Generation (RAG) architectures
• Hands-on experience with AWS Bedrock and foundation model integration
• Experience integrating vector databases such as OpenSearch, Pinecone, ChromaDB, FAISS, or Weaviate
• Strong knowledge of embeddings, semantic search, chunking strategies, and document processing pipelines
• Experience developing REST APIs and microservices using FastAPI or similar Python frameworks
• Good understanding of cloud-native architectures and deployment patterns on AWS
• Experience in AI application monitoring, evaluation, guardrails, and responsible AI practices
• Familiarity with model observability and evaluation frameworks
• Excellent analytical and problem-solving abilities

Preferred Skills

• Experience with Agentic AI frameworks and multi-agent systems
• Knowledge of AWS services such as Lambda, ECS/EKS, API Gateway, S3, DynamoDB, and CloudWatch
• Experience with Prompt Management and AI Governance frameworks
• Exposure to knowledge graph implementations and enterprise search solutions
• Familiarity with MLOps, LLMOps, and AI observability platforms
• Experience working in Banking and Financial Services domain

Key Responsibilities

• Design and develop enterprise-scale GenAI solutions leveraging LLMs and AWS Bedrock
• Build intelligent RAG-based applications and conversational AI assistants
• Develop multi-agent workflows using LangGraph and LangChain
• Optimize prompts, retrieval mechanisms, and model performance for business use cases
• Integrate AI solutions with enterprise systems, APIs, and knowledge repositories
• Establish AI application monitoring, evaluation, and governance practices
• Collaborate with architects, product owners, and business stakeholders to deliver AI-powered capabilities
• Mentor junior developers and provide technical lead ership on GenAI initiatives

Important :

Notice period : Immediate to 15-30 days ONLY.

Candidates serving Notice period will be preferred.

Please note - There should not be Career Gap more than 6 months(No Career Break)

Graduation score should be 60% & above

Pre Screening BGV (Background Verification)is mandatory [UAN/PF without any overlap issue is required.]