- 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
- 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
- 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
Skills Required
- 6-8 years of experience in backend development with .NET (C#) and Python
- Working knowledge of Java
- Hands-on experience with Agentic AI frameworks such as LangChain or AutoGen
- Strong understanding of LLM-based application design and AI integration patterns
- Experience with Model Context Protocol (MCP)
- Expertise in API-first development
- Experience in event-driven architectures
- Hands-on experience with AWS services (Lambda, S3, SQS)
- Strong experience in microservices architecture and distributed systems
- Experience with version control (Git) and CI/CD pipelines
What We Do
@TechBlocks we power the software defined industries (SDI) of today and tomorrow. We are a software engineering and consulting firm. We build modern digital value chains and businesses reimagined to create frictionless experiences for innovative monetization methods and drive unforeseen efficiencies. We are known to build world class custom platforms and products that are cloud native for some of the worlds largest brands. We are the go to technology partners for born in digital businesses that grew with us from "Concept to Commercialization" and have revenues between $100M - $10B. We help modern businesses transition just from a technology outsourcing mentality to help create globally distributed digital COEs and mature them. Our converged COEs that we create in partnership with our clients help power software factories that are extremely dynamic. We have created modern digital COEs and factories that are created with a single minded goal to future proof our clients businesses. Everything we do is centred around two philosophies and practices - Design Thinking and Lean Engineering. Whether it is building digital commerce platforms, marketplace for worlds largest retailers or smart utilities applications and products or digital health products/platforms that power wearables, patches or devices across healthcare landscape; we do it all with speed and sophistication that is unmatched in the industry
