Position Overview
We are seeking an exceptional early-stage talent to join our Founder's Office as a Research & AI Infrastructure Specialist. This is a pivotal role that bridges strategic research, cutting-edge AI development, and production-grade system implementation. You will work directly with the founding team to shape our product vision, conduct deep technical research, and build robust applications powered by large language models.
Key Responsibilities:
Conduct rigorous research on emerging LLM capabilities, architectures, and applications; synthesize findings into actionable insights for product development- Design and architect production-grade LLM-powered applications using Python, TypeScript, and React
- Collaborate with founders on strategic initiatives, including competitive analysis, market research, and technical feasibility studies
- Prototype and validate new features and product ideas at scale, ensuring code quality and system reliability
- Optimize model inference, implement effective prompt engineering strategies, and manage model deployment pipelines
- Own full-stack development lifecycle: requirements gathering, architecture design, implementation, testing, and deployment
- Contribute to technical documentation, thought leadership, and knowledge sharing within the team
Required Qualifications
Educational Background
- Bachelor's degree (minimum) from a premier engineering institution - IIT (Indian Institute of Technology) or equivalent internationally recognized tier-1 institution
- Strong foundation in computer science, mathematics, or related quantitative fields
Technical Skills
- Expert-level proficiency in Python: writing clean, maintainable, production-grade code with deep knowledge of async programming, testing frameworks, and performance optimization
- Advanced TypeScript skills: strong typing, generics, async patterns, and ability to build scalable backend services and APIs
- Proficient in React: component architecture, state management (Redux, Context API), hooks, performance optimization, and modern frontend patterns
- Experience with full-stack development: comfortable working across database design, backend APIs, and frontend UI in a single workflow
- Strong understanding of LLM fundamentals: model architectures, tokenization, embeddings, prompt engineering, fine-tuning, and inference optimization
- Hands-on experience building production LLM applications using frameworks like LangChain, LlamaIndex, or similar tools
- Familiarity with vector databases, RAG systems, and modern AI infrastructure (e.g., Hugging Face, OpenAI API, local model deployment)
- Competence with DevOps and deployment: Docker, cloud platforms (AWS/GCP/Azure), CI/CD pipelines, and containerization
Research & Analysis Skills
- Exceptional research capabilities: ability to deep-dive into academic papers, technical documentation, and source code to extract insights
- Demonstrated ability to stay current with rapidly evolving AI landscape and synthesize complex information
- Strong analytical and problem-solving mindset with a data-driven approach to decision-making
- Experience in evaluating and benchmarking AI models and comparing solutions across different implementations
Preferred Qualifications
- Published research papers or contributions to open-source AI projects
- Experience with fine-tuning and deploying custom language models
- Familiarity with prompt engineering at scale and evaluating model outputs
- Experience with advanced database systems (PostgreSQL, MongoDB, Pinecone, Qdrant)
- Contributions to GitHub or presence in the AI development community
- Background in startup environments or experience working directly with founding teams
What We're Looking For
A builder and self-starter who takes ownership and can move independently with minimal guidance- Intellectual curiosity and passion for understanding how LLMs work and what's possible with them
- Strong communication skills with ability to distill complex technical concepts for non-technical stakeholders
- Comfort with ambiguity and rapid iteration in a fast-paced startup environment
- Growth mindset: eager to learn, adapt, and expand skill sets as business needs evolve
Role & Impact
This role offers unique exposure to:
- Strategic product and company-level decision-making
- Direct mentorship from experienced founders and technical leaders
- Ownership over high-impact projects that shape the company's technical direction
- Opportunities to establish yourself as a thought leader in AI infrastructure and production LLM applications
Why Join Us
Work at the intersection of AI research and product development- Influence the direction of a high-growth startup from the ground up
- Collaborate with top-tier talent from premier institutions
- Continuous learning environment with access to cutting-edge AI tools and research
Compensation & Benefits
Competitive salary and equity package commensurate with experience and qualifications. Comprehensive benefits including health insurance, professional development opportunities, and flexible work arrangements.
How to Apply
Interested candidates should submit:
- Resume/CV highlighting relevant projects and experience
- Cover letter explaining your interest in the role and your experience with LLM applications
- Portfolio or GitHub profile showcasing your work (links preferred)
- Brief write-up of a recent AI project or research area you found interesting
Equal Opportunity Statement
We are an equal opportunity employer and celebrate diversity. We are committed to creating an inclusive environment for all employees.
