DE&A AIML Generative AI


Job Location:

Bengaluru - India

Monthly Salary: Not Disclosed
Posted on: Yesterday
Vacancies: 1 Vacancy

Job Summary

Description

Design and develop enterprise-grade Generative AI and Agentic AI solutions.
Build AI-powered assistants copilots and intelligent workflow automation platforms.
Implement and optimize: Large Language Models (LLMs) Retrieval Augmented Generation (RAG)
Multi-Agent Systems Semantic Search architectures
Develop AI orchestration frameworks for autonomous and collaborative AI agents.
Build scalable AI pipelines and microservices using Python and modern AI frameworks.
Design vector search and enterprise knowledge retrieval solutions.
Fine-tune prompts optimize inference performance and improve AI response quality.
Develop secure API integrations and event-driven AI architectures.
Collaborate with product architecture security and engineering teams.
Ensure responsible AI governance security compliance and observability standards.
Support deployment monitoring and continuous improvement of AI systems in production



Responsibilities

5 years of IT experience with strong expertise in AI/ML engineering.
Deep hands-on expertise in: Generative AI & Large Language Models Retrieval Augmented
Generation (RAG) Multi-Agent Systems & AI Orchestration Semantic Search & Knowledge Retrieval
NLP & Machine Learning
Strong programming proficiency in: Python AI/ML frameworks and libraries
Experience with: LangChain LangGraph LlamaIndex OpenAI/Azure OpenAI APIs Hugging Face
ecosystem
Strong understanding of: Prompt Engineering AI Agents Context Management Embedding Models
AI Evaluation Frameworks
Hands-on experience with Vector Databases: Pinecone Weaviate ChromaDB FAISS
Elasticsearch/OpenSearch
Experience building REST APIs and AI-powered microservices.
Strong knowledge of cloud-native AI deployment patterns on AWS/Azure/GCP.
Experience with Docker Kubernetes CI/CD and MLOps practices.
Familiarity with enterprise-scale secure AI implementation and governance frameworks



Qualifications

Experience building enterprise AI copilots and autonomous AI agent platforms.
Background in Financial Services Cards & Payments Fraud & Disputes or Customer Servicing
domains.
Experience with conversational AI intelligent automation and enterprise search solutions.
Exposure to highly regulated enterprise environments.
Strong stakeholder communication and architecture leadership skills.
Tools & Technologies
AI & GenAI - OpenAI Azure OpenAI Anthropic Claude Hugging Face LangChain LangGraph LlamaIndex
Transformers
AI/ML & NLP - Python PyTorch TensorFlow Scikit-learn NLP Prompt Engineering AI Agents RAG
Pipelines
Vector & Search Technologies - Pinecone Weaviate FAISS ChromaDB Elasticsearch OpenSearch
Cloud & DevOps - AWS Azure GCP Docker Kubernetes Jenkins GitHub Actions Azure DevOps
Integration Technologies - REST APIs Microservices Kafka JSON/XML API Gateway
Monitoring & Observability - Splunk Dynatrace Prometheus Grafan



DescriptionDesign and develop enterprise-grade Generative AI and Agentic AI solutions. Build AI-powered assistants copilots and intelligent workflow automation platforms. Implement and optimize: Large Language Models (LLMs) Retrieval Augmented Generation (RAG)Multi-Agent Systems Semantic Search arch...

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At Zensar, we’re “experience-led everything”. We are committed to conceptualizing, designing, engineering, marketing, and managing digital solutions and experiences for over 130 leading enterprises. We are a company driven by a bold purpose: Together, we shape experiences for better f ... View more

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