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Senior Architect, Quality Engineering @ Icertis

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 Senior Architect, Quality Engineering

Job Description

Key Responsibilities
AI Architecture & LLM Systems
  • Architect and build AI-powered quality engineering platforms using LLMs and SLMs
  • Evaluate and integrate open-source models such as Llama and Mistral
  • Design prompt engineering workflows and Retrieval-Augmented Generation (RAG) pipelines
  • Architect systems for LLM evaluation, guardrails, and validation frameworks
  • Optimize architectures for token efficiency, cost, and performance
Embeddings & Vector Search
  • Design and implement embedding pipelines for semantic retrieval
  • Implement vectorization strategies for documents, test artifacts, and product knowledge bases
  • Architect vector storage using technologies such as
    • Pinecone
    • Weaviate
    • Milvus
    • FAISS
  • Optimize chunking and indexing strategies for large knowledge repositories
Model Optimization & Fine-Tuning
  • Implement model fine-tuning pipelines using LoRA / PEFT techniques
  • Evaluate model performance, reliability, and hallucination mitigation
  • Manage training datasets and model evaluation metrics
Backend & System Architecture
  • Design microservice-based AI system architectures
  • Build scalable backend services and APIs for model inference and evaluation
  • Develop data pipelines supporting AI workflows and large-scale inference systems
MLOps & AI Lifecycle
  • Build MLOps pipelines for model deployment, monitoring, and retraining
  • Implement CI/CD pipelines for AI systems
  • Enable model observability, performance monitoring, and version control
OCR & Document Intelligence
  • Design systems for OCR-based document processing
  • Integrate OCR pipelines with embedding and AI workflows
  • Build solutions for document understanding and QA automation
Required Skills
AI & LLM Systems
  • Strong understanding of LLM and SLM architectures
  • Experience working with open-source LLMs
  • Prompt engineering and RAG architectures
  • Model evaluation frameworks and hallucination control
  • Token optimization strategies
Embeddings & Vector Databases
  • Experience working with embedding models and semantic search
  • Hands-on experience with vector databases such as
    • FAISS
    • Pinecone
    • Weaviate
    • Milvus
  • Infuse AI with
    • Automated Test Failure analysis
    • Crawl Product/Test code to figure out whether issue is probable Product/Test/Env issue
Programming & AI Frameworks
  • Strong Python programming skills
  • Experience with AI frameworks such as
    • LangChain
    • LlamaIndex
  • Backend development using FastAPI / Flask / Node.js
Backend & Cloud Architecture
  • Microservices architecture and REST APIs
  • Containerization using Docker
  • Experience working on AWS / Azure / GCP
MLOps
  • Model deployment pipelines
  • CI/CD for machine learning systems
  • Monitoring and observability of AI models
OCR & Document Processing
  • Experience with OCR frameworks such as
    • Tesseract OCR
    • PaddleOCR
System Foundations
  • Strong understanding of system design, operating systems, networking, and distributed systems
Nice to Have
  • Experience building AI agents or autonomous systems
  • should add Architect testing frameworks for agentic AI workflows and multi-agent orchestration
  • Knowledge of LLM evaluation frameworks
  • Understanding of AI safety and guardrails
  • Experience architecting AI-powered SaaS products
 

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Engineering - Software & QA
Role Category: Software Development
Role: Technical Architect
Employement Type: Full time

Contact Details:

Company: Icertis
Location(s): Pune

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Keyskills:   Architect System architecture Automation Networking Machine learning System design Open source Distribution system Monitoring Python

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Icertis

This is a manufacturing, Trading and Retail Sales Company.\r\nProducts: Door, Chokhat, Plywood, Board etc.