Dotnet Gen AI Architect

Anlage Digital; Bengaluru; Hybrid; INR 3,000,000 - 6,000,000; Full time

Job summary

Anlage Digital recherche un ingénieur logiciel senior pour diriger des initiatives AI/ML et des applications agentiques. Vous participerez à l’intégration LLM, à la conception de pipelines RAG et au déploiement de services cloud-native sur Azure/AWS/GCP.

Le candidat idéal possède au moins 5 ans d’expérience, maîtrise les architectures orientées IA et les outils DevOps, et peut travailler en hybride à Bengaluru, en Inde.

Qualifications

• 5+ years de veloppement logiciel et expérience AI/ML et agents autonomes.
• Expérience en intégration LLM, RAG et pipelines vecteurs.
• Connaissances cloud-native et FinOps, infrastructures comme code.
• Maîtrise OOP/OOD et diagrammes de contexte métier (BCD).
• Expérience avec outils de DevOps et cadres multi-agent.

Skills

Angular

React

NodeJS

Python

C#

.NET

Java

SQL/NoSQL

PyTorch

TensorFlow

LangChain

LangGraph

Unit testing frameworks

AI/ML

GenAI

LLM integration

RAG pipelines

Prompt engineering

Vector databases

AI agent orchestration

Cloud-native engineering

FaaS/PaaS

Azure AWS GCP

FinOps

Infrastructure as code

DevSecOps

SRE

LangFuse

LangSmith

Tools

GitHub

SonarQube

MLflow

LangFuse

LangSmith

Azure OpenAI

AWS Bedrock

Vertex AI

Job description

Shift Timings: 11AM to 8PM

Hybrid- 2-3 days' work from office

Levels :

Role & responsibilities

• 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.