AI Engineer (Backend)

Tredence Inc.; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Tredence Inc. is seeking a skilled AI Engineer (Backend) with 5–8 years of experience in Bengaluru to design, build, and deploy AI-powered applications. You will work with Generative AI, LLMs, and RAG pipelines, crafting REST APIs and microservices for scalable AI solutions.

The role emphasizes hands-on backend development in Python, integration of diverse LLMs, and collaboration with cross-functional teams to ensure reliable, production-ready AI systems.

Qualifications

• 5+ years of AI engineering experience with backend development.
• Strong expertise in GenAI, LLMs, and prompt engineering.
• Experience deploying production AI applications in cloud environments.

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.

Skills

Generative AI

Python Development

Agentic AI Frameworks

Tools

LangChain

LangGraph

CrewAI

AutoGen

Semantic Kernel

FastAPI

Flask

REST APIs

Git

Job description

Role Description

AI Engineer (Backend)

Experience: 5 to 8 Years

Role Overview

We are seeking a highly skilled AI Engineer with strong 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 (Good 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 environments.