Role Description AI Engineer (Backend)

Experience: 5 to 8 Years

Role Overview

We are seeking a highly skilled AI Engineer with robust expertise in Generative AI, Agentic AI, and Python-based backend development. The candidate will design, build, and deploy AI-powered applications leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and autonomous AI agent frameworks.

Key Responsibilities
Design and develop scalable AI applications using Python.
Build GenAI solutions leveraging OpenAI, Azure OpenAI, Claude, Gemini, or open-source LLMs.
Develop and maintain RAG pipelines integrating vector databases and enterprise data sources.
Create AI agents using frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or Semantic Kernel.
Design REST APIs and microservices for AI model integration.
Implement prompt engineering, grounding, evaluation, and optimization techniques.
Collaborate with product, data, and platform teams to deliver AI solutions.
Monitor model performance, reliability,



and scalability in production environments.
Participate in code reviews and enforce engineering best practices.

Required Skills

Primary Skills
Generative AI
Python Development
Agentic AI Frameworks

Technical Skills
LLMs and Foundation Models
RAG Architecture
LangChain / LangGraph
CrewAI / AutoGen / Semantic Kernel
FastAPI / Flask
REST APIs
Vector Databases (Pinecone, Chroma, Weaviate, FAISS, Azure AI Search)
Prompt Engineering
Git, CI/CD

Cloud & Infrastructure
Azure (Preferred)
AWS or GCP
Docker
Kubernetes (Valuable to Have)

Preferred Qualifications
Experience working with enterprise AI use cases.
Exposure to AI observability and evaluation frameworks.
Understanding of responsible AI and AI governance principles.
Experience in deploying AI applications in cloud settings.

📌 Ai Engineer Backend Bengaluru
🏢 Tredence
📍 Bengaluru