Responsibilities
- Collaborate with engineering teams to identify and address challenges in AI development, focusing on enhancing efficiency and usability.
- Architect, develop, and optimize AI infrastructure and tools, including pipelines for model training, vector search systems, and performance evaluation frameworks.
- Create and refine centralized AI services like document parsing, search, and large language model (LLM) integration.
- Balance competing priorities by making strategic trade-offs that align with business goals, user needs, and sustainable technical architecture.
- Lead by example, fostering a culture of collaboration, excellence, and mentorship within the engineering team.
Requirements
- Experience: A minimum of 5 years as a software engineer in fast-paced environments.
- Technical Expertise: Hands-on experience building and scaling platform solutions for developers, with a focus on reliability, performance optimization, and monitoring.
- Data Pipeline Expertise: Proven ability to design and scale data pipelines, balancing considerations like architecture, developer experience, and performance.
- AI/ML Knowledge: Familiarity with modern AI/ML technologies, model evaluation techniques, and leveraging AI to address user challenges.
- Startup Agility: Experience working in rapidly growing startups or dynamic teams where adaptability and action-driven approaches are essential.
- User-Centric Mindset: A proactive attitude toward engaging with end users, coupled with a commitment to building solutions that cater to their needs effectively.
Benefits
- Remote First Policy
- 5 Days Working With FLEXI Hours
- Group Medical Insurance (Parents, Spouse, Children)
- Group Accident Cover
- Company Sponsored Device
- Education Reimbursement Policy
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