AI Python Engineer- Bangalore/Mumbai- Immediate Joiner

Anlage Infotech (India) P Ltd; Bengaluru, Mumbai; On-site; INR 1,200,000 - 2,500,000; Full time

Job summary

Anlage Infotech (India) P Ltd is seeking an experienced AI/GenAI Engineer to design, develop, and deploy scalable GenAI-powered applications. You will leverage LLMs, RAG, and agentic frameworks to build production-grade AI solutions and collaborate across product, engineering, and business teams.

The role requires strong Python development skills, hands-on experience with AI orchestration frameworks, and cloud-native deployments.

Qualifications

• Experience building production-grade GenAI systems.
• Exposure to multi-agent workflows.
• Experience with AI observability tools.
• Understanding of scalable backend architecture.
• Prior work on enterprise AI products or copilots.

Responsibilities

• Build and deploy GenAI applications using LLMs such as GPT, Gemini, Llama, Mistral, Claude, etc.
• Design and implement RAG pipelines using vector databases and embeddings.
• Develop AI agents and workflow orchestration using LangChain, LangGraph, CrewAI, AutoGen, or similar frameworks.
• Fine-tune, evaluate, and optimize LLM models for production use cases.
• Integrate AI services into scalable backend systems and APIs.
• Work with structured/unstructured datasets for NLP and AI workflows.
• Deploy AI solutions on cloud platforms such as Azure, AWS, or GCP.
• Build observability, monitoring, guardrails, and evaluation frameworks for GenAI systems.
• Collaborate with product, engineering, and business teams to deliver AI-driven solutions.
• Mentor junior engineers and contribute to AI architecture decisions (for senior roles).

Skills

Python

GenAI

LLMs

Tools

LangChain

LangGraph

CrewAI

AutoGen

Job description

Role & responsibilities

Role: AI Developer

Job Overview

We are looking for an experienced AI/GenAI Engineer to design, develop, and deploy scalable AI-powered applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI frameworks/workflow development. The ideal candidate should have strong Python development skills, hands-on experience with modern AI orchestration frameworks, and exposure to cloud-native AI deployments.

Key Responsibilities

• Build and deploy GenAI applications using LLMs such as GPT, Gemini, Llama, Mistral, Claude, etc.


• Design and implement RAG pipelines using vector databases and embeddings.


• Develop AI agents and workflow orchestration using LangChain, LangGraph, CrewAI, AutoGen, or similar frameworks.


• Fine-tune, evaluate, and optimize LLM models for production use cases.


• Integrate AI services into scalable backend systems and APIs.


• Work with structured/unstructured datasets for NLP and AI workflows.


• Deploy AI solutions on cloud platforms such as Azure, AWS, or GCP.


• Build observability, monitoring, guardrails, and evaluation frameworks for GenAI systems.


• Collaborate with product, engineering, and business teams to deliver AI-driven solutions.


• Mentor junior engineers and contribute to AI architecture decisions (for senior roles).

Preferred Qualifications

• Experience building production-grade GenAI systems


• Exposure to multi-agent workflows


• Experience with AI observability tools


• Understanding of scalable backend architecture


• Prior work on enterprise AI products or copilots