Role Overview
We are seeking a highly experienced Application Lead to work on the design, architecture, and delivery of enterprise-grade solutions. This role requires strong ownership of end-to-end system architecture, strategic technical decision-making, and leadership of cross-functional engineering teams.
KEY RESPONSIBILITIES
Architecture & Solution Design
- Define and own end-to-end system architecture (APIs, frontend, and data layer)
- Create architecture diagrams, technical blueprints, and design documentation
- Design scalable, secure, and high-performance GenAI systems using a spec-driven approach
- Establish best practices for modular, reusable, and production-ready system design
AI / GenAI Engineering
- Architect and implement solutions using Claude API, LLMs, and agentic AI frameworks
- Design multi-agent systems, MCP integrations, and tool-based workflows
- Build and optimize RAG pipelines with vector databases and retrieval strategies
- Define prompt engineering standards, structured outputs, and evaluation frameworks
Leadership & Delivery
- Lead and mentor a team of engineers and developers
- Drive technical planning, task allocation, and delivery timeline
- Conduct code reviews and enforce engineering best practices
- Collaborate with product, design, and engineering stakeholders
Engineering & Platform
- Oversee backend development using .NET
- Ensure robust deployment practices using Docker, CI/CD, and AWS
- Drive system performance, scalability, monitoring, and reliability
REQUIRED QUALIFICATIONS
- 8+ years of experience in software engineering
- Strong expertise in system architecture and distributed system design
- Hands-on experience with LLMs (Claude, GPT) and Generative AI systems
- Deep understanding of RAG, agentic AI, and prompt engineering techniques
- Strong proficiency in .NET and backend system development
- Proven experience in leading engineering teams and driving technical delivery
- Experience with spec-driven development and enterprise-grade system design
TECH STACK
Application: Angular, .Net, .Net Core (Good to Have Python, FastAPI)
Database: PostgreSQL
Architecture: Microservices, API orchestration, scalable system design
Cloud & DevOps: Docker, CI/CD, AWS
AI / GenAI: Claude API, MCP, LLMs (Claude, GPT, open source)
AI Patterns: Agentic AI, RAG, Vector Databases, Prompt Engineering
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