Python Fullstack Generative AI Engineer

Anlage Infotech; Hyderabad, Bengaluru, Mumbai; Hybrid; INR 2,500,000 - 4,000,000; Full time

Job summary

Anlage Infotech in Hyderabad/Bangalore/Gurugram is seeking a senior AI engineer with 6–9 years of experience to drive applied AI initiatives. The role emphasizes GenAI, LLM integration, and cloud-native systems.

You will work in a hybrid setup (3 days in office, 2 days remote) across major Indian tech hubs, collaborating with cross-functional teams to deliver high-quality AI-powered solutions.

Qualifications

• A bachelor's degree in computer science, software engineering, data science, machine learning, or related discipline. Experience is the most relevant factor.
• 5+ years of experience with Angular, React, NodeJS, Python, C#, .NET, Java, SQL/NoSQL, PyTorch, TensorFlow, LangChain, LangGraph, and unit testing frameworks.
• 3+ years of experience building AI/ML and agentic applications, with GenAI experience across LLM integration, RAG pipelines, prompt engineering, vector databases, evaluations, and AI agent orchestration.
• 3+ years of experience with cloud-native engineering on Azure, AWS, or GCP, including AI/ML services, IaC, FinOps accountability.
• Experience with XP, Lean, DevSecOps, SRE, ADO, GitHub, SonarQube, MLflow, LangFuse/LangSmith, or equivalent multi-agent orchestration tools.

Skills

Python

SQL

Azure

AWS

GenAI

Angular

React

NodeJS

C#

Java

PyTorch

TensorFlow

LangChain

LangGraph

Unit testing

Education

Bachelor's degree in CS/SE/DS

Tools

Azure OpenAI

AWS Bedrock

Vertex AI

LangFuse

LangSmith

MLflow

GitHub

SonarQube

Azure DevOps

Job description

Skill : Applied AI - Python+SQL+Azure/AWS+GenAI

Experience : 6-9 Yrs

Work location: Hyderabad/Bangalore/Gurugram

Work Model-Hybrid (3 days work from office / 2 days work from home )

Required Qualifications:

• A bachelors degree in computer science, software engineering, data science, machine learning, or related discipline. Experience is the most relevant factor.
• 5+ years of experience with most of the following: Angular, React, NodeJS, Python, C#, .NET, Java, SQL/NoSQL, PyTorch, TensorFlow, LangChain, LangGraph, as well as unit testing frameworks.
• 3+ years of experience building AI/ML and agentic applications, with hands-on GenAI experience across LLM integration (OpenAI, Anthropic, or open-source models), RAG pipelines, prompt engineering, vector databases, evaluations, and AI agent orchestration.
• 3+ years of experience with cloud-native engineering, using FaaS, PaaS, or micro-services on any of the cloud hyperscalers such as Azure, AWS, or GCP, including their AI/ML services such as Azure OpenAI, AWS Bedrock, or Vertex AI, plus application-level infrastructure-as-code and cost-aware engineering (FinOps accountability).
• Prior experience using methodologies & tools such as XP, Lean, DevSecOps, SRE, ADO, GitHub, SonarQube, MLflow, and agentic AI frameworks (e.g. LangFuse, LangSmith, or equivalent multi-agent orchestration tools) etc. to deliver high-quality products rapidly.