AI Product Architect

About the Role

Aculyze Solutions LLP is looking for a AI Product Architect to architect and build production-ready AI products. The role combines LLM engineering, backend development, data engineering, enterprise integration, and cloud architecture.

Key Responsibilities

• Architect and lead end-to-end AI/LLM products from concept to production.
• Build RAG pipelines, AI agents, tools/function calling, and LLM workflows.
• Develop scalable backend services using Python, FastAPI, PostgreSQL, and SQL.
• Design ETL/ELT pipelines, data models, analytics, and BI solutions.
• Integrate AI solutions with ERP, CRM, and enterprise systems.
• Implement authentication, RBAC, multi-tenancy, audit logging, and data security.
• Build cloud-native systems using AWS/Azure, Docker, and CI/CD.
• Establish LLM evaluation, prompt engineering, structured outputs, monitoring, and observability.
• Lead architecture decisions, code reviews, engineering standards, and mentor developers.

Required Skills

6+ years of relevant experience in AI/ML, software engineering, AI product development, or a related field.

AI/LLM: OpenAI, Anthropic, Gemini, RAG, AI Agents, Tool Calling, LLM Evaluation, Structured Outputs

Backend: Python, FastAPI, REST APIs, PostgreSQL, SQL, Async Systems

Data: ETL/ELT, Data Modelling, Analytics, BI, Data Pipelines

Enterprise: ERP/CRM, Authentication, RBAC, Multi-tenancy, Audit Logging, Data Security

Cloud: AWS/Azure, Docker, CI/CD, Monitoring & Observability

Preferred

• Production AI/SaaS product experience
• System design and distributed systems experience
• Technical leadership experience
• AI security and LLM observability experience
• Strong communication and stakeholder-management skills

Apply

Email: [email protected]

Subject: Application – AI Product Architect

Application Question(s):

• Do you have hands-on experience with RAG, AI Agents, and tool/function calling?
• Are you highly proficient in Python, FastAPI, PostgreSQL, and SQL?

Experience:

• professional software/AI engineering: 6 years (Required)

Work Location: In person