Description
- 9 to 12 years of experience in software architecture, backend systems, or AI platform development.
- Strong proficiency in Python and familiarity with design patterns and microservices architectures.
- Hands-on experience with LLMs and agent frameworks such as LangChain, LangGraph, CrewAI, AutoGen, and AutoGPT or similar.
- Expertise in embeddings, vector databases, and retrieval systems.
- Proven track record of designing scalable and maintainable systems.
- Design and scale RAG architectures, including strategies for retrieval, grounding mechanisms, and data flow patterns.
- Evaluate and select LLMs, agent frameworks, and orchestration tools based on performance, cost, and use-case fit.
Job Summary
We are seeking a highly experienced AI Platform Architect with deep expertise in backend system design and modern LLM-based architectures. The ideal candidate will lead the design and scaling of retrieval-augmented generation (RAG) systems, evaluate and integrate LLMs and agent frameworks, and architect robust, scalable AI platforms that support production-grade applications.
Key Responsibilities
- Design and architect scalable, maintainable AI platforms and backend systems.
- Lead the design and implementation of RAG architectures, including retrieval strategies, grounding mechanisms, and data flow patterns.
- Architect microservices-based systems to support AI/LLM workloads.
- Evaluate, select, and integrate LLMs, agent frameworks, and orchestration tools based on performance, cost, security, and business use cases.
- Design systems leveraging embeddings, vector databases, and retrieval pipelines.
- Build and optimize AI workflows using agent frameworks such as LangChain, LangGraph, CrewAI, AutoGen, AutoGPT, or similar tools.
- Collaborate with product, data, and engineering teams to translate business requirements into technical architectures.
- Establish best practices for system design, reliability, scalability, and maintainability.
- Provide technical leadership, architecture reviews, and mentorship to engineering teams.
- Stay up to date with emerging trends in LLMs, AI agents, and AI infrastructure.
Required Skills & Qualifications
Core Technical Skills :
- 9- 12 years of experience in software architecture, backend systems, or AI platform development.
- Strong proficiency in Python for backend and AI application development.
- Deep understanding of design patterns, system design, and microservices architectures.
- Hands-on experience with LLMs and agent frameworks such as :
- LangChain
- LangGraph
- CrewAI
- AutoGen
- AutoGPT (or similar)
- Expertise in embeddings, vector databases, and information retrieval systems.
(ref:hirist.tech)
