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AI Backend Engineer

Key Facts

Remote From: 
Full time
Senior (5-10 years)
English

Roles & Responsibilities

  • 6-8 years of experience in backend development with strong proficiency in .NET (C#) and Python
  • Hands-on experience with Agentic AI frameworks, including LangChain and AutoGen
  • Strong understanding of LLM-based application design and AI integration patterns
  • Experience with Model Context Protocol (MCP) or similar model orchestration approaches

Requirements:

  • Design and develop scalable backend services using .NET (C#) and Python
  • Build and integrate AI-powered agentic systems using frameworks such as LangChain and AutoGen
  • Develop API-first architectures, exposing secure and scalable RESTful services
  • Collaborate with data, frontend, and product teams to deliver end-to-end AI-enabled solutions

Job description

About the Opportunity
Join a leading technology services environment focused on building intelligent, secure, and cloud-
native enterprise applications. This role is ideal for an experienced AI Backend Engineer who can
develop scalable backend systems, integrate AI agents, and support API-driven, event-based
architectures on AWS.
Job Title: AI Backend Engineer
Location: Remote
Salary: INR 15-17.5 LPA CTC
Experience: 6-8 years
Role Overview
We are seeking a highly skilled AI Backend Engineer with expertise in .NET (C#), Python, and API-
driven architectures, combined with hands-on experience in Agentic AI frameworks such as
LangChain, AutoGen, or similar. The role involves building intelligent, scalable backend systems that
leverage AI agents, integrate with enterprise platforms, and operate within event-driven, cloud-native
environments on AWS.
Key Responsibilities
 Design and develop scalable backend services using .NET (C#) and Python
 Build and integrate AI-powered agentic systems using frameworks such as LangChain,
AutoGen, or similar platforms
 Implement Model Context Protocol (MCP) for managing AI model interactions and context
orchestration
 Develop API-first architectures, exposing secure and scalable RESTful services
 Design and implement event-driven architectures using messaging systems such as SQS
 Integrate AI services with enterprise systems through REST APIs and asynchronous workflows
 Develop and manage registry and orchestration patterns for AI agents and services
 Deploy and manage applications on AWS services such as Lambda, S3, and SQS, ensuring
scalability and fault tolerance
 Collaborate with data, frontend, and product teams to deliver end-to-end AI-enabled solutions
 Ensure adherence to secure coding practices, performance optimization, and compliance
standards
 Participate in code reviews, testing, and CI/CD pipelines
 Maintain technical documentation for APIs, AI workflows, and system architecture
Required Skills & Qualifications
 6-8 years of experience in backend development with strong proficiency in .NET (C#) and
Python
 Working knowledge of Java for integration or legacy system support
 Hands-on experience with Agentic AI frameworks, including:
 LangChain
 AutoGen
 Similar multi-agent orchestration frameworks
 Strong understanding of LLM-based application design and AI integration patterns
 Experience with Model Context Protocol (MCP) or similar model orchestration approaches
 Expertise in API-first development, including RESTful services and API security
 Strong experience in event-driven architectures, message queues, and asynchronous
processing
 Hands-on experience with AWS services, including:
 Lambda for serverless compute
 S3 for storage

 SQS for messaging
 Experience implementing service registry and orchestration patterns
 Strong understanding of microservices architecture and distributed systems
 Experience with version control systems such as Git and CI/CD pipelines
 Strong debugging, analytical, and problem-solving skills
Preferred / Nice-to-Have Skills
 Experience with LLM providers such as OpenAI, Anthropic, Azure OpenAI, or similar platforms
 Exposure to vector databases such as Pinecone, FAISS, Weaviate, or similar platforms
 Familiarity with containerization tools such as Docker and Kubernetes
 Knowledge of prompt engineering and AI evaluation techniques
 Experience with monitoring and logging tools such as CloudWatch, ELK, or similar platforms
 Understanding of security and governance in AI systems
Cogent InfoTech is an equal opportunity employer. We celebrate diversity and are committed to
creating an inclusive environment where everyone feels welcome and valued. We encourage
applications from individuals of all backgrounds, identities, abilities, and experiences.
Join Us
Be part of a team focused on building intelligent, scalable, and secure AI-enabled backend systems.
If you are passionate about backend engineering, cloud-native development, and agentic AI
solutions, we would love to hear from you.

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