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Generative AI Engineer
Generative AI Engineer
Quantiphi's logo

Generative AI Engineer

Nikita Sinha's profile picture
Posted by Nikita Sinha
4 - 8 yrs
Upto ₹45L / yr (Varies
)
Bengaluru (Bangalore)
Skills
Generative AI
skill iconPython
Large Language Models (LLM)
Retrieval Augmented Generation (RAG)
Agentic AI

We are looking for a hands-on Generative AI Engineer to design, build, and deploy enterprise-grade GenAI platform capabilities across multiple business units.

This role focuses on developing scalable, reusable AI components across the full stack—covering RAG systems, agent orchestration, LLM infrastructure, and GenAIOps—on GCP (primary) and Azure.

This is a core engineering role, not a research or client-facing position.


Key Responsibilities

  • Design and build production-ready GenAI systems and platform components
  • Develop and deploy RAG pipelines (data ingestion, embeddings, retrieval, APIs)
  • Implement agent-based architectures (orchestration, routing, memory, workflows)
  • Build and manage LLM infrastructure (model routing, caching, rate limiting, observability)
  • Develop scalable APIs and services for AI capabilities
  • Implement GenAIOps/MLOps practices (prompt management, evaluation, monitoring, deployment)
  • Work with GCP services (Vertex AI, BigQuery, Cloud Run, GKE, Pub/Sub) to deploy solutions
  • Ensure AI safety, governance, and compliance (PII protection, guardrails, auditability)
  • Collaborate with cross-functional teams to deliver reusable, enterprise-grade solutions

Required Skills & Experience

  • Strong hands-on experience in Generative AI and RAG systems (production level)
  • Experience building multi-agent or agentic AI systems
  • Proficiency in Python and backend/API development
  • Hands-on experience with GCP AI/ML ecosystem (Vertex AI, BigQuery, etc.)
  • Solid understanding of LLM infrastructure and orchestration layers
  • Experience with CI/CD pipelines and Infrastructure as Code (Terraform)
  • Knowledge of GenAIOps/MLOps practices and model lifecycle management
  • Understanding of AI safety, governance, and compliance

Nice to Have

  • Experience with LangChain, LlamaIndex, or similar frameworks
  • Familiarity with RAG evaluation tools (RAGAS, DeepEval)
  • Knowledge of Knowledge Graphs with RAG
  • Experience in multi-cloud environments (GCP + Azure)
  • Exposure to BFSI/regulated domains

What We’re Looking For

  • Engineers who have built and deployed real-world GenAI systems at scale
  • Strong backend and systems-thinking mindset
  • Ability to work in fast-paced, enterprise environments

Role Type

  • Individual Contributor (IC)
  • Platform Engineering / Backend-heavy GenAI role
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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 Quantiphi

Founded :
2013
Type :
Products & Services
Size :
1000-5000
Stage :
Profitable

About

Quantiphi is an award-winning AI-first digital engineering company driven by the desire to reimagine and realize transformational opportunities at the heart of the business. Since its inception in 2013, Quantiphi has solved the toughest and most complex business problems by combining deep industry experience, disciplined cloud, and data-engineering practices, and cutting-edge artificial intelligence research to achieve accelerated and quantifiable business results.

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Tech stack

Google Cloud Platform (GCP)
skill iconNodeJS (Node.js)
skill iconPython
Artificial Intelligence (AI)
MLOps

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Bengaluru, Mumbai, and Trivandrum

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