14 Aug
|
HireVedaX
|
Jaipur
About The Role
We are seeking an AI-native Solution Architect with deep expertise in Node.js ecosystems, Microservices Architecture, and No-Code/Low-Code platforms to design scalable, resilient, and configurable SaaS solutions.
This role will be instrumental in building a generic, multi-tenant SaaS platform that enables rapid product development while ensuring performance, security, and high availability across a polyglot data infrastructure.
Key Responsibilities
- Define and drive architecture vision, standards, and governance practices.
- Architect and scale multi-tenant SaaS platforms using microservices and event-driven design.
- Design and standardize APIs, data architectures (SQL &
- NoSQL), and cloud-native/serverless systems.
- Establish strong DevOps, CI/CD pipelines, and reusable engineering patterns.
- Design and implement AI-native architectures using LLMs, embeddings, and vector databases.
- Establish AI patterns such as RAG, copilots, and workflow automation.
- Build prompt orchestration layers and AI gateway services.
- Define AI governance, security guardrails, and responsible AI practices.
- Drive AI-assisted engineering (code generation, documentation, automated reviews).
- Lead adoption of AI-powered development tools and LLM-driven workflows.
- Continuously evaluate and integrate emerging AI technologies.
- Collaborate cross-functionally and mentor engineering teams.
Experience &
- Skills
- 8 years in software engineering, including 3 years in solution architecture.
- Strong expertise in Node.js, microservices, event-driven systems, and REST/GraphQL APIs.
- Experience with SQL &
- NoSQL databases (PostgreSQL, MySQL, MongoDB, Elasticsearch).
- Hands-on experience with cloud platforms (AWS/GCP/Azure) and CI/CD &
- DevOps practices..
- Familiarity with No-Code/Low-Code platforms and workflow automation.
- Experience with LLM APIs, RAG architectures, and AI integrations in production systems.
Must Haves
- Active use of AI coding assistants (e.g., Claude, Cursor, Copilot) in daily development
- Solid prompt engineering skills for code generation, refactoring, and testing
- Experience working with agentic / multi-step AI workflows
- Understanding of AI limitations, risks, and hallucination handling
- Experience integrating LLMs into real-world applications (preferred)
📌 Must haves: (Jaipur)
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📍 Jaipur