Generative AI Engineer_Python, LLM, RAG

Anlage Infotech; Pune District, Bengaluru, Hyderabad; On-site; INR 1,800,000 - 2,600,000; Full time

Job summary

Anlage Infotech is seeking a skilled AI Engineer / Generative AI Engineer to design and build scalable GenAI solutions using Python, LLMs, and RAG within a hybrid model across Bangalore, Hyderabad, and Pune.

Responsibilities include developing RESTful services, deploying agentic AI architectures, and integrating with enterprise systems while ensuring performance, security, and reliability. Immediate joiners preferred.

Qualifications

• Strong hands-on experience with Python and backend application development.
• Experience building applications using Large Language Models (LLMs).
• Strong knowledge of Prompt Engineering and Agentic AI architectures.
• Hands-on experience with Retrieval-Augmented Generation (RAG), Vector Databases, and enterprise knowledge retrieval systems.
• Experience using LangChain, LangGraph, or similar LLM orchestration frameworks.
• Good understanding of REST APIs, API design, and event-driven architectures.
• Experience developing cloud-native microservices and distributed applications.

Responsibilities

• Design, develop, and deploy enterprise-grade AI applications using Python and modern backend frameworks.
• Build intelligent applications leveraging LLMs, prompt engineering, and agentic AI architectures.
• Design and implement RAG pipelines using vector databases and knowledge retrieval systems.
• Develop scalable REST APIs and event-driven microservices to integrate AI capabilities with enterprise applications.
• Work with frameworks such as LangChain, LangGraph, or similar orchestration frameworks for LLM-based applications.
• Optimize AI models for performance, scalability, reliability, and security.
• Collaborate with product managers, architects, and business stakeholders to translate business requirements into AI-driven solutions.
• Deploy and manage AI applications using cloud-native technologies and containerized environments.
• Follow software engineering best practices, including testing, CI/CD, and code reviews.

Skills

Python

LLMs

Prompt engineering

Agentic AI

RAG

Vector databases

LangChain

LangGraph

REST APIs

Microservices

Tools

Docker

Kubernetes

AWS

Azure

GCP

Job description

AI Engineer / Generative AI Engineer (Python, LLM, RAG)

Location: Bangalore / Hyderabad / Pune (Hybrid)

Experience: 5 - 10 Years

Joining Preference: Immediate Joiners / Candidates serving up to 30 days' notice

Job Summary

We are looking for a highly skilled AI Engineer / Generative AI Engineer with strong expertise in Python, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI. The ideal candidate will be responsible for designing and building scalable AI-powered applications, intelligent agents, and enterprise-grade GenAI solutions using modern AI frameworks and cloud-native technologies.

Key Responsibilities

• Design, develop, and deploy enterprise-grade AI applications using Python and modern backend frameworks.


• Build intelligent applications leveraging Large Language Models (LLMs), prompt engineering, and agentic AI architectures.


• Design and implement Retrieval-Augmented Generation (RAG) pipelines using vector databases and knowledge retrieval systems.


• Develop scalable REST APIs and event-driven microservices to integrate AI capabilities with enterprise applications.


• Work with frameworks such as LangChain, LangGraph, or similar orchestration frameworks for LLM-based applications.


• Optimize AI models for performance, scalability, reliability, and security.


• Collaborate with product managers, architects, and business stakeholders to translate business requirements into AI-driven solutions.


• Deploy and manage AI applications using cloud-native technologies and containerized environments.


• Follow software engineering best practices, including testing, CI/CD, and code reviews.

Required Skills

• Strong hands-on experience with Python and backend application development.


• Experience building applications using Large Language Models (LLMs).


• Strong knowledge of Prompt Engineering and Agentic AI architectures.


• Hands-on experience with Retrieval-Augmented Generation (RAG), Vector Databases, and enterprise knowledge retrieval systems.


• Experience using LangChain, LangGraph, or similar LLM orchestration frameworks.


• Good understanding of REST APIs, API design, and event-driven architectures.


• Experience developing cloud-native microservices and distributed applications.


• Strong analytical, debugging, and problem-solving skills.


• Excellent communication and stakeholder management skills.

Preferred Skills

• Experience in Banking, Financial Services, or FinTech domains.


• Exposure to Document AI, Intelligent Document Processing (IDP), or Fraud Detection solutions.


• Hands-on experience with Docker and Kubernetes.


• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).


• Familiarity with CI/CD pipelines and DevOps practices.