Architect Agentic AI Engineering

Job Description: Architect – Agentic AI Engineering

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About the Role

We are looking for an experienced Architect to lead the design, hardening, and scaling of agentic AI systems — taking prototype-stage LLM applications and evolving them into production-grade, enterprise-ready platforms. This role sits at the intersection of AI engineering and software architecture, requiring hands-on depth in agentic frameworks alongside strong fundamentals in backend systems design and cloud deployment.

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Key Responsibilities

Agentic AI Development

• Design and build agentic workflows using frameworks such as LangGraph, and tools like Claude Code, to orchestrate multi-step, tool-using AI agents
  
• Own prompt engineering strategy — designing, testing, and iterating on prompts for reliability, consistency, and cost efficiency
  
• Evaluate and integrate LLM capabilities into broader application architectures
  

Prototype-to-Production Engineering

• Take early-stage AI prototypes and refactor them into robust, maintainable, production-grade systems
  
• Identify and remediate technical debt, brittle logic, and scalability bottlenecks common in fast-built AI proofs-of-concept
  
• Establish engineering rigor (testing, observability, error handling, versioning) around previously ad hoc AI systems
  

Backend Engineering

• Architect and develop backend services in Python, using FastAPI and async programming patterns
  
• Optimize application performance, latency, and throughput for AI-driven workloads
  
• Design clean, well-documented APIs that support both internal and external consumption
  

Software Architecture & Design

• Apply sound software architecture principles and design patterns to ensure systems are modular, scalable, and maintainable
  
• Make and document key architectural decisions (system design, data flow, integration patterns, trade-offs)
  
• Set technical standards and provide architectural guidance to engineering teams
  

Cloud & Infrastructure

• Design and deploy solutions on AWS and/or Azure, leveraging cloud-native services for compute, storage, and orchestration
  
• Ensure systems are built with security, cost-efficiency, and scalability in mind from a cloud architecture standpoint
  

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Required Skills & Experience

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Ideal Candidate Profile

• 8+ years of overall software engineering experience, with a meaningful portion in AI/LLM-based systems
  
• Comfortable operating as an individual architect/senior IC — able to both write code and make architectural calls
  
• Experience working in fast-moving, ambiguous environments where systems evolve from PoC to production under time pressure
  
• Strong communication skills to justify architectural decisions to both technical and non-technical stakeholders