Python Fullstack Generative AI Engineer

Anlage Infotech (India) P Ltd; Hyderabad, Gurugram District, Bengaluru; Hybrid; INR 4,000,000 - 7,000,000; Full time

Job summary

Anlage Infotech (India) P Ltd is seeking a senior AI/ML engineer to drive applied AI solutions. You will work on GenAI integrations, RAG pipelines and multi-agent orchestration in a hybrid Hyderabad/Bangalore/Gurugram setting, contributing to cloud-native deployments and cost-aware engineering.

You should bring 5+ years in modern AI stacks, strong software engineering fundamentals and hands-on GenAI experience across major cloud AI services, with a focus on rapid, high-quality product delivery.

Qualifications

• Bachelor's degree in computer science, software engineering, data science or related discipline.
• 5+ years of experience with Angular, React, NodeJS, Python, C#, .NET, Java, SQL/NoSQL, PyTorch, TensorFlow, LangChain, LangGraph, and related testing frameworks.
• 3+ years building AI/ML and agentic apps with GenAI across LLM integration, RAG pipelines, prompt engineering and vector databases.
• 3+ years cloud-native engineering using Azure, AWS or GCP with AI/ML services and infrastructure-as-code.
• Experience with XP, Lean, DevSecOps, SRE, GitHub, SonarQube, MLflow and multi-agent orchestration tools.

Skills

Applied AI

Python

SQL

Azure

AWS

GenAI

Education

Bachelor's degree in CS/EE/DS

Tools

GitHub

SonarQube

MLflow

LangFuse

LangSmith

LangGraph

Azure OpenAI

AWS Bedrock

Vertex AI

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.