Lead Software Architect

Job Title: Software Architect

Company: Darwix AI

Location: Gurgaon (On-site)

Type: Full-Time

Experience: 4–10 Years

About Darwix AI

Darwix AI is India’s fastest-growing Gen-AI-powered sales enablement platform, transforming how enterprises engage, close, and scale using AI-driven sales intelligence. We are building next-generation tools that drive contextual automation, real-time nudges, and conversation analytics to power global sales teams across India, MENA, and the US.

Backed by top VCs and industry pioneers, Darwix AI is focused on product-led growth, deep engineering excellence, and building scalable systems for global impact.

Role Overview: Software Architect

We are seeking a highly skilled Software Architect to lead architectural decision-making and technical execution across our AI-first platform. In this role, you will be responsible for designing scalable backend infrastructure, defining architecture for AI integrations, and ensuring the reliability, security, and performance of our core systems.
This role requires a strong foundation in backend engineering, system design, and distributed architecture. You will play a pivotal role in building modular services that power intelligent, high-speed, and context-aware systems at scale.

Key Responsibilities???? System Architecture Design
• Architect scalable, fault-tolerant backend systems using Python, PHP, Django, Flask, and Moodle.
• Design modular, API-driven services optimized for low latency and high concurrency.
• Define system-level blueprints for integrating AI tools (LLMs, RAG pipelines, Langchain, etc.).
⚙️ AI-Integrated Infrastructure
• Architect data pipelines for ingestion of structured (SQL) and unstructured (vector DB) data.
• Integrate LLM workflows into product infrastructure using LangChain, LangGraph, and Retrieval-Augmented Generation.
• Optimize AI model retrieval strategies for performance, speed, and scalability.
☁️ Cloud DevOps Enablement
• Design and oversee AWS-based architecture (EC2, RDS, S3) for scale and efficiency.
• Implement containerization (Docker, Kubernetes) and CI/CD workflows for deployment and testing.
• Collaborate with DevOps teams to ensure system monitoring, uptime, and version control best practices.
???? Tech Strategy Best Practices
• Define and maintain technical design standards, architectural guidelines, and security protocols.
• Conduct regular code audits and architectural reviews.
• Stay ahead of emerging technologies and make recommendations for continuous improvement.
???????????? Cross-Functional Collaboration
• Work closely with product, backend, and AI engineers to align system architecture with business and user needs.
• Translate product requirements into robust engineering design and guide implementation.
Tech Stack

Languages: Python, PHP, NodeJS

Frameworks: Django, Flask, Moodle

Frontend (basic exposure): HTML, CSS, JavaScript, Bootstrap, jQuery

Databases: MySQL, PostgreSQL, MongoDB (preferred), Vector DBs (e.g., Pinecone, FAISS)

AI Tooling: LangChain, LangGraph, Function Calling, RAG

Cloud DevOps: AWS, Docker, Kubernetes, GitHub Actions, CI/CD pipelines

Qualifications
• 4–10 years of experience in software development, with significant exposure to backend system design and architecture.
• Proven experience designing scalable systems in a SaaS or AI-first environment.
• Strong hands-on expertise with Python and/or PHP-based systems.
• Experience working with large-scale databases and optimizing cloud-based deployments.
• Deep familiarity with containerization, microservices, and API-first architectures.
• Exposure to AI/ML tools, NLP, or vector DB integration is a strong advantage.
• Excellent problem-solving skills, structured thinking, and clear communication.

What We Offer
• Key ownership role in defining the technical foundation of a high-growth AI SaaS product.
• Opportunity to work on challenging, high-impact problems in system design and AI integration.
• A high-performance, learning-driven culture with strong autonomy.
• Competitive compensation, ESOPs, and performance-linked incentives.
• A collaborative environment where engineering decisions directly impact product and business success.

Note:

This role is best suited for hands-on system thinkers who enjoy architecting products from the ground up, optimizing for scale, and integrating new-age AI infrastructure into high-velocity software environments.

To Apply:

Please submit your resume along with a short write-up on a complex system you've helped design, including scale, technologies used, and business outcomes. Read more