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Applied AI Engineer

Quoqo

Bengaluru, Karnataka, Indiamidonsite

  • anthropic
  • autogen
  • aws
  • azure
  • ci/cd
  • django
  • docker
  • fastapi
  • flask
  • gemini
  • git
  • langchain
  • langgraph
  • linux
  • mcp
  • mysql
  • nginx
  • ocr
  • openai
  • pdf extraction
  • postgresql
  • python
  • rag
  • react
  • rest apis
  • vector databases

Role: Applied AI Engineer

Location: Bengaluru, in-office

Experience: 3–5 years

Joining: Immediate joiners / short notice preferred

We're looking for a hands-on Applied AI Engineer to help build production-grade AI systems for enterprise legal, compliance, contracting, and workflow automation use cases.

This role is for someone who enjoys building beyond prototypes. You'll work on backend services, LLM-powered workflows, document intelligence pipelines, RAG architectures, OCR, vector databases, APIs, and enterprise integrations.

The work involves real customer environments, documents, workflows, and production constraints.

What you'll work on

  • Build backend services using Python, Flask/FastAPI, and REST APIs
  • Develop AI workflows using OpenAI, Anthropic, Gemini, LangChain, LangGraph, and related frameworks
  • Design document-processing pipelines involving OCR, PDF extraction, embeddings, and document intelligence
  • Work with vector databases, retrieval systems, and RAG architectures
  • Build scalable APIs for enterprise workflow automation
  • Debug production issues and support deployment readiness
  • Collaborate closely with product, frontend, and deployment teams
  • Support customer-specific configurations and enterprise solution customisations

What we're looking for

  • Strong Python development experience
  • Hands-on experience with Flask, FastAPI, or Django
  • Experience with API integrations and asynchronous workflows
  • Working knowledge of MySQL/PostgreSQL
  • Comfort with Git, Linux, debugging, and deployment environments
  • Understanding of LLM applications, RAG systems, and AI workflows
  • Strong problem-solving ability and ownership mindset
  • Ability to build reliable, production-ready systems, not just proof-of-concepts

Good to have

  • LangGraph, AutoGen, MCP, or agentic workflow experience
  • Docker, Nginx, and CI/CD exposure
  • OCR or Document AI experience
  • Azure or AWS deployment experience
  • Basic React knowledge

This is a good fit for engineers who want to work at the intersection of backend engineering, applied AI, document intelligence, and enterprise workflow automation.

If you're interested, please apply or reach out directly.

Apply on linkedin

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