Aurusai

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!