Dotnet Full stack with AI Manager

Anlage Infotech; Bengaluru, Hyderabad; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Anlage Infotech is seeking a senior full-stack engineer in Bengaluru with 10+ years of experience across Angular/React/NodeJS and Python/C#. The role emphasizes AI/ML, GenAI, LLM integration, and cloud-native delivery on Azure/AWS/GCP. Strong knowledge of design patterns and testing is required.

The ideal candidate will work on AI-augmented products, integrate with LangChain/LangGraph, and contribute to scalable architectures with cost-aware engineering. Bangalore/Hyderabad presence preferred.

Qualifications

• 10+ years of full-stack software engineering experience with Angular, React, NodeJS, Python, C#, .NET, Java, SQL/NoSQL, PyTorch, TensorFlow, LangChain, LangGraph, and testing frameworks.
• 3+ years of experience building AI/ML and agentic applications, including GenAI and LLM integration, RAG pipelines, and prompt engineering.
• 3+ years of cloud-native engineering with FaaS/PaaS/micro-services on Azure/AWS/GCP, incl. AI services and FinOps accountability.
• Experience with design and development practices such as OOP/OOD, data structures, algorithms, and AI-augmented development.
• Familiarity with XP/Lean/DevSecOps/SRE, GitHub, SonarQube, MLflow, and multi-agent orchestration tools.

Skills

.NET/C#

Angular

React

NodeJS

Python

Java

SQL/NoSQL

PyTorch

TensorFlow

LangChain

LangGraph

AI/ML

GenAI

LLMs

OpenAI

Anthropic

Azure

AWS

GCP

DevSecOps

SRE

Tools

LangFuse

LangSmith

MLflow

SonarQube

GitHub

Azure DevOps

Job description

Exp - 10 to 13yrs

Location - Bangalore & Hyderabad

Skills- (.Net/C#)+(Angular/React)+(Azure)+ (AI/ML / Generative AI GenAI / LLMs / agents / assistants)

Required Qualifications:

• 10+ years of full-stack software engineering experience with most of the following: Angular, React, NodeJS, Python, C#, .NET, Java, SQL/NoSQL, PyTorch, TensorFlow, LangChain, LangGraph, as well as unit and integration 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.