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AI Architect
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AI Architect

Ranjana Singh's profile picture
Posted by Ranjana Singh
8 - 12 yrs
Best in industry
Hyderabad
Skills
skill iconPython
skill iconJava
TypeScript
skill iconAmazon Web Services (AWS)
skill iconDocker
skill iconKubernetes
Apache Kafka
Large Language Models (LLM) tuning
Generative AI (GenAI)
LangGraph
AutoGen
Model Context Protocol (MCP)
Large Language Models (LLM)
CI/CD

About the Role

We're looking for a hands-on AI Architect to lead the design and delivery of AI-native applications. You will define the AI stack, establish engineering standards, and drive adoption of AI-assisted development across teams.


Responsibilities

  • Architect and build production-grade AI applications.
  • Evaluate and standardize AI frameworks, tools, and platforms.
  • Design agentic systems, RAG pipelines, and AI workflows.
  • Establish AI evaluation, testing, guardrails, and observability practices.
  • Drive AI-native development and delivery acceleration initiatives.
  • Partner with engineering and product teams on technical roadmap decisions.


Requirements

  • 7+ years of software engineering experience.
  • Strong experience with LLMs, RAG, embeddings, prompt engineering, and agent frameworks.
  • Experience with LangGraph, AutoGen, MCP, or similar ecosystems.
  • Hands-on experience with AI evaluations (DeepEval, Ragas), guardrails, and structured outputs.
  • Strong Python and TypeScript/Java skills.
  • Experience with Kubernetes, CI/CD, IaC, observability, and event-driven architectures.
  • Proven experience shipping AI applications to production.
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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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About CAW.Tech

Founded :
2017
Type :
Services
Size :
100-1000
Stage :
Bootstrapped

About

CAW Studios is Product Development Studio. WE BUILD TRUE PRODUCT TEAMS for our clients. Each team is a small, well-balanced group of geeks and a product manager that together produce relevant and high-quality products. We use data to make decisions, bringing big data and analysis to software development. We believe the product development process is broken as most studios operate as IT Services. We operate like a software factory that applies manufacturing principles of product development to the software.

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Connect with the team

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Ranjana Singh
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Kartik Bansal
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RaviKiran V
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Krishnaveni B
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Stuti Jain

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