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Weekday (YC W21) logo
Weekday (YC W21)

We are a Y-Combinator-backed startup building your AI-powered Recruiter Agent

AI Software Architect

Full-stack EngineerSoftware EngineerFull TimeRemoteSeniorTeam 11-50Since 2021H1B No SponsorCompany SiteLinkedIn

Location

India

Posted

93 days ago

Salary

0

Seniority

Senior

Bachelor Degree4 yrs expEnglishAWSAzureDockerKubernetesMicroservices

Job Description

AI Software Architect

Weekday (YC W21)

• Design and manage the development of scalable generative AI systems and enterprise-grade AI platforms. • Create robust architectures that facilitate model training, inference, monitoring, and lifecycle management within production settings. • Lead the choice, customization, and enhancement of cutting-edge generative AI and large language models. • Develop and implement APIs, microservices, and integration frameworks to integrate AI functionalities into enterprise applications. • Ensure that AI platforms adhere to high benchmarks for performance, reliability, security, and scalability, while also complying with data governance and privacy standards. • Work collaboratively with product, engineering, and business teams to define technical requirements and AI architecture approaches. • Design end-to-end pipelines for the deployment and monitoring of AI models, ensuring smooth integration with existing systems. • Lead architectural choices for LLM applications, AI workflows, and distributed AI infrastructure. • Establish best practices for responsible AI development, including protocols to address risks such as model hallucinations, bias, and reliability issues. • Offer technical guidance and mentorship to engineering teams while assisting in shaping long-term technology strategy and the evolution of AI platforms.

Job Requirements

  • Over 4 years of experience in software engineering or architecture roles, with substantial exposure to AI/ML systems.
  • Deep familiarity with modern neural network architectures including Transformers, CNNs, and RNNs.
  • Proven experience in designing scalable and distributed architectures for AI-driven applications.
  • Practical experience with cloud platforms like AWS, Azure, or Google Cloud.
  • Skilled in containerization and orchestration technologies, particularly with Docker and Kubernetes.
  • Strong comprehension of microservices architecture, RESTful APIs, and distributed system design.
  • Experience with MLOps / LLMOps pipelines, including model training, deployment, monitoring, and lifecycle management.
  • Adequate knowledge of large-scale data systems and contemporary database technologies.
  • Capable of translating business requirements into scalable AI solution architectures.
  • Exemplary documentation abilities for architectural designs, workflows, and technical decision-making processes.
  • Comfortable in a startup or fast-paced environment with a strong sense of ownership and leadership.

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