Python Developer with Gen ai

Anlage Infotech; Hyderabad, Gurugram District, Bengaluru; Hybrid; INR 1,800,000 - 3,200,000; Full time

Job summary

Anlage Infotech seeks an accomplished AI/ML engineer to design and build agentic applications and GenAI-powered solutions. You will work across LLM integration, RAG pipelines, prompt engineering, and vector databases to deliver scalable products.

The role requires 3+ years in AI/ML with cloud-native skills and experience in multi-agent frameworks. Collaborations span across teams, with emphasis on robust, testable software and cost-aware engineering.

Qualifications

• Bachelor's degree in CS or related field; practical experience matters most.
• 5+ years with Angular, React, NodeJS, Python, C#, .NET, Java, SQL/NoSQL, PyTorch, TF, LangChain and LangGraph.
• 3+ years building AI/ML apps with GenAI, LLM integration, RAG pipelines, prompts, vector stores and AI agent orchestration.
• 3+ years cloud-native engineering with FaaS/PaaS/microservices on Azure/AWS/GCP and IaC/FinOps practices.
• Experience with BCD, OOP/OOD, data structures, algorithms, and AI-augmented development.
• Familiarity with XP, Lean, DevSecOps, SRE, ADO, GitHub, SonarQube, MLflow and LangFuse/LangSmith.

Skills

Angular

React

NodeJS

Python

C#

.NET

Java

SQL/NoSQL

PyTorch

TensorFlow

LangChain

LangGraph

Unit testing

GenAI

LLM integration

RAG pipelines

Prompt engineering

Vector databases

AI agent orchestration

Cloud-native engineering

Azure

AWS

GCP

FaaS

PaaS

DevOps

DevSecOps

SRE

LangFuse

LangSmith

Education

Bachelor's degree in CS/Software Eng/DS/ML

Tools

XP

Lean

DevSecOps

SRE

ADO

GitHub

SonarQube

MLflow

LangFuse

LangSmith

Job description

Role & responsibilities

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 software engineering experience with the understanding of Business Context Diagrams (BCD), sequence/activity/state/entity relationship/data flow diagrams, OOP/OOD, data structures, algorithms, and code instrumentations, and AI-augmented spec-driven development.
• 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.