Dot Net Fullstack Developer with AI

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

Job summary

Anlage Infotech is seeking a senior AI/ML engineer based in India to design and implement agentic AI applications. You will work on GenAI-powered solutions, integrate multiple LLMs, and build scalable cloud-native systems with FinOps awareness.

The role requires deep expertise in AI/ML, LangChain/LangGraph, and hands-on experience with Azure/AWS/GCP AI services, plus strong software engineering fundamentals and collaboration across teams.

Qualifications

• Bachelor's degree in computer science, software engineering, data science, machine learning, or related discipline.
• 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, LLM integration (OpenAI, Anthropic, or open-source), 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 Azure, AWS, or GCP, including AI services (Azure OpenAI, AWS Bedrock, Vertex AI) and infrastructure-as-code with FinOps accountability.
• Experience with XP/Lean/DevSecOps/SRE/ADO/GitHub/SonarQube/MLflow and agentic AI frameworks for rapid, high-quality delivery.

Skills

Dotnet/C#

Angular

React

Azure

AI/ML

GenAI

LLMs

Agents/Assistants

Education

Bachelor's degree in CS/Software Engineering/Data Science

Tools

LangChain

LangGraph

LangFuse

OpenAI

Anthropic

Vertex AI

Job description

Experience -10 to 13 yrs

Location - Hyderabad/ Bangalore

Skills - Dotnet/C# + Angular/ React + Azure + AI/ML / Generative AI / GenAI / LLMs / agents / assistants

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.