aurusai

About Us

We are building the next generation of AI-powered products and platforms that redefine how businesses digitize, automate, and scale. Our flagship solutions span eCommerce, financial services, and enterprise automation, with an emerging focus on commercializing cutting-edge AI services across Grok, OpenAI, and the Azure Cloud ecosystem.

Role Overview

We are seeking a highly skilled Full-Stack Developer with a strong foundation in e-commerce product development and deep expertise in backend engineering using Python. The ideal candidate is passionate about designing scalable systems, has hands-on experience with cloud-native architectures, and is eager to drive the commercialization of AI-driven services and platforms.

Key Responsibilities

• Design, build, and scale full-stack applications with a strong emphasis on backend services (Python, Django/FastAPI/Flask).
• Lead development of eCommerce features including product catalogs, payments, order management, and personalized customer experiences.
• Integrate and operationalize AI services across Grok, OpenAI APIs, and Azure AI services to deliver intelligent workflows and user experiences.
• Build and maintain secure, scalable APIs and data pipelines for real-time analytics and automation.
• Collaborate with product, design, and AI research teams to bring experimental features into production.
• Ensure systems are cloud-ready (Azure preferred) with CI/CD, containerization (Docker/Kubernetes), and strong monitoring practices.
• Contribute to frontend development (React, Angular, or Vue) to deliver seamless, responsive, and intuitive user experiences.
• Champion best practices in coding, testing, DevOps, and Responsible AI integration.

Required Skills & Experience

• 5+ years of professional full-stack development experience.
• Proven track record in eCommerce product development (payments, cart, checkout, multi-tenant stores).
• Strong backend expertise in Python (Django, FastAPI, Flask).
• Experience with cloud services (Azure preferred; AWS/GCP is a plus).
• Hands-on with AI/ML integration using APIs like OpenAI, Grok, Azure Cognitive Services.
• Solid understanding of databases (SQL & NoSQL), caching, and API design.
• Familiarity with frontend frameworks such as React, Angular, or Vue.
• Experience with DevOps practices: GitHub/GitLab, CI/CD, Docker, Kubernetes.
• Strong problem-solving skills, adaptability, and a product-first mindset.

Nice to Have

• Knowledge of vector databases, RAG pipelines, and LLM fine-tuning.
• Experience in scalable SaaS architectures and subscription platforms.
• Familiarity with C2PA, identity security, or compliance-driven development.

What We Offer

• Opportunity to shape the commercialization of AI-driven products in fast-growing markets.
• A high-impact role with autonomy and visibility.
• Competitive compensation, equity opportunities, and growth into leadership roles.
• Collaborative environment working with seasoned entrepreneurs, AI researchers, and cloud architects.

About the Role:

We are looking for an experienced and imaginative Generative AI Architect & Engineer to lead, design, and build cutting-edge solutions using Large Language Models (LLMs) such as OpenAI’s GPT-4/5, Google Gemini, Meta’s LLaMA, and Anthropic Claude. You will spearhead the development of a corporate-wide GenAI platform that harnesses proprietary enterprise knowledge and empowers sales, operations, and other departments with instant, contextual insights, guidance, and automation.

As the GenAI leader, you will be responsible for building scalable pipelines, integrating enterprise content repositories, fine-tuning or adapting foundational models, and creating secure and intuitive access patterns for business teams. You are passionate about creating highly usable solutions that solve real-world problems, and are fluent across architecture, implementation, and MLOps best practices.

Key Responsibilities:

• Architect and implement an end-to-end GenAI solution leveraging LLMs to serve as a contextual assistant across multiple business units.
• Develop pipelines to ingest, clean, and index enterprise knowledge (documents, wikis, CRM, chat transcripts, etc.) using RAG (Retrieval-Augmented Generation) patterns and vector databases.
• Lead fine-tuning, prompt engineering, and evaluation of LLMs, adapting open-source or commercial models to enterprise needs.
• Design a secure, scalable, API-first microservice platform, including middleware and access control, integrated into corporate systems.
• Work closely with sales, operations, and customer support teams to gather use cases and translate them into impactful GenAI features.
• Drive experimentation and benchmarking to evaluate various open and closed LLMs (OpenAI, Claude, Gemini, LLaMA, Mistral, etc.) for best performance and cost-efficiency.
• Collaborate with DevOps teams to enable MLOps workflows, CI/CD pipelines, versioning, and A/B testing for AI models.
• Contribute to technical documentation, best practices, and internal knowledge sharing.

Key Qualifications:

• 4–5+ years of hands-on experience in AI/ML product development or applied research.
• Demonstrated experience working with LLMs (OpenAI, LLaMA, Claude, Gemini, Mistral, etc.) and RAG pipelines, including vector search (FAISS, Weaviate, Pinecone, Chroma, etc.).
• Strong Python skills and experience with frameworks such as LangChain, LlamaIndex, Transformers, Ray, HuggingFace, or equivalent.
• Deep understanding of NLP, model fine-tuning, embeddings, tokenization, and content ingestion pipelines.
• Exposure to enterprise content systems (e.g., SharePoint, Confluence, Salesforce, internal wikis, etc.) and integrating with them securely.
• Solid foundation in software architecture, microservices, API design, and cloud deployments (Azure, AWS, or GCP).
• Experience with security, RBAC, and compliance practices in enterprise-grade solutions.
• Ability to lead projects independently and mentor junior engineers or data scientists.

How to Apply:

Submit your resume and a short technical project summary or portfolio (GitHub, Hugging Face, blog posts)

What You'll Do:

• Designed, architected, and built the core AI-powered application from the ground up.
• You will join a small team with an unparalleled 'fire-in-belly' to close deliverables and a "hungry for more"
• Collaborate with visionary founders to define the product roadmap and bring innovative ideas to life.
• Leverage your expertise in Azure Cloud, full-stack development, and automation to develop scalable, secure, and high-performing solutions.
• Take ownership of the technical stack, system integrations, and deployment pipelines.
• Establish best development, testing, and deployment practices to ensure the product's success in a competitive market.

Who You Are:

• Proficient in full-stack technologies, including React.js, Node.js, Python/Django, and similar frameworks.
• Tech leader who thrives in startup environments and is fully hands-on in coding and working under minimal supervision.
• Highly results-driven. (very important)
• 8+ years of proven experience in the technology product space, including building and scaling applications.
• Strong knowledge of Cloud platforms, Azure Cloud architecture, and automation tools.
• Experienced in developing and deploying enterprise-grade applications.
• Passionate about AI and its potential to transform the enterprise landscape.
• Eager to solve complex problems and create products with tangible business impact.

Why Join Us?:

• Be part of a founding team, playing a critical role in shaping a cutting-edge AI product.
• Collaborate with industry leaders and visionaries who are passionate about innovation.
• This is an opportunity to grow alongside the company and lead a high-impact engineering team.
• Equity and ownership in the product’s success.

We want to hear from you if you’re ready to make a real difference, push boundaries, and build something extraordinary!