We are seeking a senior AI Systems Architect to design and implement AI-native application cores where Large Language Models (LLMs), vector databases, retrieval systems, and agent frameworks form the primary computational layer of our web and mobile applications.This role is responsible for architecting scalable AI pipelines, retrieval-augmented generation (RAG) systems, memory architectures, AI agents, and orchestration workflows integrated with our development stack (Web, Mobile, n8n automation, and AI services).The ideal candidate understands that AI is not a feature, it is the operating system of the product.Key Responsibilities1. AI Core Architecture DesignDesign AI-first system architecture for web and mobile applicationsArchitect RAG pipelines using vector databasesDefine long-term memory, short-term memory, and contextual state systemsImplement multi-agent AI systemsDesign AI orchestration layers2. Vector Database & Embedding SystemsSelect and implement vector databases such as:PineconeWeaviateQdrantMilvusSupabase (pgvector)Optimize embedding strategiesImplement hybrid search (semantic + keyword)Design scalable indexing pipelines3. LLM Integration & OptimizationWork with models such as:OpenAI APIsAnthropicMeta (LLaMA)DeepSeekAlibaba (Qwen)Implement structured output pipelinesDesign evaluation and prompt testing frameworksOptimize cost-performance ratio4. AI Agent Systems & OrchestrationBuild autonomous AI agentsDesign tool-calling systemsIntegrate with:n8nLangGraph / LangChain style agent flowsImplement memory-aware agents5. Production AI EngineeringBuild monitoring systems for hallucination detectionDesign guardrails and validation layersImplement evaluation datasets and benchmarkingEnsure security of AI pipelinesBuild scalable infrastructure (Docker, Kubernetes, GPU optimization)RequirementsTechnical Expertise5+ years software engineering experience2+ years building production AI systemsDeep knowledge of:Vector embeddings & similarity searchRAG architecturesTokenization and context window optimizationFine-tuning & LoRA conceptsPrompt evaluation frameworksExperience with Python (mandatory)Experience with FastAPI / backend servicesExperience designing scalable APIsArchitecture ExperienceDesigning distributed systemsMicroservices & event-driven architectureExperience with PostgreSQL + pgvectorExperience deploying LLM systems in production
We are seeking a senior AI Systems Architect to design and implement AI-native application cores where Large Language Models (LLMs), vector databases, retrieval systems, and agent frameworks form the primary computational layer of our web and mobile applications.
This role is responsible for architecting scalable AI pipelines, retrieval-augmented generation (RAG) systems, memory architectures, AI agents, and orchestration workflows integrated with our development stack (Web, Mobile, n8n automation, and AI services).
The ideal candidate understands that AI is not a feature, it is the operating system of the product.
Key Responsibilities
1. AI Core Architecture Design
- Design AI-first system architecture for web and mobile applications
- Architect RAG pipelines using vector databases
- Define long-term memory, short-term memory, and contextual state systems
- Implement multi-agent AI systems
- Design AI orchestration layers
2. Vector Database & Embedding Systems
- Select and implement vector databases such as:
- Pinecone
- Weaviate
- Qdrant
- Milvus
- Supabase (pgvector)
- Optimize embedding strategies
- Implement hybrid search (semantic + keyword)
- Design scalable indexing pipelines
3. LLM Integration & Optimization
- Work with models such as:
- OpenAI APIs
- Anthropic
- Meta (LLaMA)
- DeepSeek
- Alibaba (Qwen)
- Implement structured output pipelines
- Design evaluation and prompt testing frameworks
- Optimize cost-performance ratio
4. AI Agent Systems & Orchestration
- Build autonomous AI agents
- Design tool-calling systems
- Integrate with:
- n8n
- LangGraph / LangChain style agent flows
- Implement memory-aware agents
5. Production AI Engineering
- Build monitoring systems for hallucination detection
- Design guardrails and validation layers
- Implement evaluation datasets and benchmarking
- Ensure security of AI pipelines
- Build scalable infrastructure (Docker, Kubernetes, GPU optimization)
Requirements
Technical Expertise
- 5+ years software engineering experience
- 2+ years building production AI systems
- Deep knowledge of:
- Vector embeddings & similarity search
- RAG architectures
- Tokenization and context window optimization
- Fine-tuning & LoRA concepts
- Prompt evaluation frameworks
- Experience with Python (mandatory)
- Experience with FastAPI / backend services
- Experience designing scalable APIs
Architecture Experience
- Designing distributed systems
- Microservices & event-driven architecture
- Experience with PostgreSQL + pgvector
- Experience deploying LLM systems in production
Star is a human capability development company dedicated to strengthening people, institutions, and sectors through structured learning, professional advancement, and large-scale development initiatives.The company works with government entities, private sector organizations, and professionals to design and implement programs that support workforce development, professional certification, and institutional capability building across multiple industries.Star is the exclusive regional partner for several leading international institutions and certification bodies, enabling professionals and organizations in the region to access globally recognized programs, standards, and qualifications.Star operates through four core divisions:Star Training – delivers professional development programs, workforce training initiatives, and executive education designed to strengthen practical skills and industry readiness.Star Education – develops academic pathways, international education partnerships, and specialized programs that support long-term professional development.Star Projects – leads large-scale capability development initiatives and institutional programs for government entities and major organizations.Star Events – designs and delivers conferences, forums, and industry platforms that bring professionals, institutions, and thought leaders together.
Star is a human capability development company dedicated to strengthening people, institutions, and sectors through structured learning, professional advancement, and large-scale development initiatives.
The company works with government entities, private sector organizations, and professionals to design and implement programs that support workforce development, professional certification, and institutional capability building across multiple industries.
Star is the exclusive regional partner for several leading international institutions and certification bodies, enabling professionals and organizations in the region to access globally recognized programs, standards, and qualifications.
Star operates through four core divisions:
Star Training – delivers professional development programs, workforce training initiatives, and executive education designed to strengthen practical skills and industry readiness.
Star Education – develops academic pathways, international education partnerships, and specialized programs that support long-term professional development.
Star Projects – leads large-scale capability development initiatives and institutional programs for government entities and major organizations.
Star Events – designs and delivers conferences, forums, and industry platforms that bring professionals, institutions, and thought leaders together.
