Geta AI Labs Private Limited
Website:
geta.ai
Job details:
We are looking for an experienced Application Architect with strong hands-on expertise in building scalable SaaS platforms and AI-powered systems. This role requires a balance of great technical skills, systems thinking, and business understanding. You will be responsible for designing robust architectures, driving engineering standards, and building systems that scale efficiently.
Responsibilities
- Design and implement scalable, high-performance system architectures.
- Build and scale multi-tenant SaaS or high-volume platforms.
- Drive technical decision-making independently.
- Improve engineering practices, system reliability, and performance.
- Collaborate with product and business teams to translate requirements into technical solutions.
- Mentor engineers and guide architectural best practices.
Requirements
- Strong experience in system architecture and scalable SaaS design.
- Hands-on expertise in backend development, cloud infrastructure, and AI/automation-heavy systems.
- Ability to drive architecture decisions independently.
- Practical experience preferred over purely managerial profiles.
Technical Skills
- Programming: TypeScript / Java / Go / Python.
- DevOps / MLOps: CI/CD pipelines.
- Infrastructure as Code: Terraform / AWS CDK.
- Monitoring: Logs, traces, and metrics systems.
Architecture Skills Identity And Access
- OAuth2 OIDC, JWT.
- SSO implementation.
- Role-Based Access Control (RBAC).
System Design And Scalability
- Microservices / modular/event-driven architectures.
- Handling scale, latency, and cost optimisation.
Cloud Architecture
- AWS / Azure / GCP.
- Compute, networking, IAM, storage.
- Serverless vs containerized architectures.
Multi-Tenancy
- Designing and scaling multi-tenant systems.
APIs And Integrations
- REST / GraphQL APIs.
- Third-party integrations (LLMs, data services, internal systems).
Data Architecture
- Data Pipelines: Ingestion, transformation, enrichment.
- Processing: Batch vs streaming.
- Storage: Relational DBs, NoSQL, data lakes/warehouses.
- Vector Data: Hybrid search (keyword + vector).
- Governance: Access control, auditability (enterprise-grade systems).
Nice To Have
AI & ML Integration:
(Not a pure Data Science role)
- LLM integrations (OpenAI, Anthropic, open-source models).
- Prompt engineering and tool/function calling.
- RAG (Retrieval-Augmented Generation) systems.
- Vector databases (Pinecone, Weaviate, FAISS).
- Embeddings, chunking strategies.
- Inference optimisation (latency vs accuracy).
- Caching strategies (prompt and response).
- Model lifecycle awareness (versioning, monitoring, cost control).
Product And Business Thinking
- Strong MVP-first mindset(build fast, iterate faster).
- Ability to makebuy vs build decisions.
- Focus on AI features tied to business value.
- Understanding of AI UX, guardrails, explainability, and failure handling.
- Awareness of ROI and scalability impact.
Soft Skills
- Translate business problems into scalable technical solutions.
- Communicate trade-offs effectively with leadership.
- Mentor and guide engineering teams.
This job was posted by Manasvi Chijwani from Geta AI Labs.
Click on Apply to know more.