About the role
Responsibilities:
- Build products from zero to one, taking major features across the full stack from design to launch.
- Drive feedback loops with users, founders, and the Customer Success team to rapidly iterate on product direction.
- Architect scalable systems, implement robust software components, and ensure reliability and performance.
- Write clean, well-tested, production-grade code that is easy to read and maintain.
Requirements:
- Experience: 2-7 Years.
- Domain: AI / ML / Backend Engineering.
Technical Requirements:
- 2-6 years of experience in AI / ML / Backend Engineering.
- Strong CS fundamentals (Tier-1 college preferred).
- Experience with backend systems and APIs (e. g., Node.js, Python, or similar).
- Experience with modern web stacks (e. g., TypeScript, React, Next.js, or similar).
- Familiarity with LLM frameworks (LangChain, LlamaIndex, etc. ) and with OpenAI, Claude, and Gemini APIs.
- Hands-on experience with RAG pipelines and vector databases.
- Experience with LLMOps and evaluation frameworks.
Other Requirements:
- Experience building end-to-end systems from scratch.
- Track record of optimizing for latency and cost in production systems.
- Prior work in Series A/B startups or fast-paced environments.
- Comfortable working with data-intensive applications and distributed systems.
- Ability to pick up new technologies quickly and move across the stack as needed.
- Solid understanding of performance, system design, and scalability.