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 (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
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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
- 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 (e.g., 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 (Lambda, S3, 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
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Required Skills & Qualifications
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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 such as:
- LangChain
- AutoGen
- or 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, async processing)
- Hands-on experience with AWS services:
- Lambda (serverless compute)
- S3 (storage)
- SQS (messaging)
- Experience implementing service registry and orchestration patterns
- Strong understanding of microservices architecture and distributed systems
- Experience with version control (Git) and CI/CD pipelines
Strong debugging, analytical, and problem-solving skills
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Preferred / Nice-to-Have Skills
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Experience with LLM providers (OpenAI, Anthropic, Azure OpenAI, etc.)
- Exposure to vector databases (Pinecone, FAISS, Weaviate, etc.)
- Familiarity with containerization (Docker, Kubernetes)
- Knowledge of prompt engineering and AI evaluation techniques
- Experience with monitoring/logging tools (CloudWatch, ELK, etc.)
- Understanding of security and governance in AI systems
