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Weekday AI

Proactive software engineer recruitment via referrals

Senior AI Engineer

Applied Machine LearningPosted on Nov 13
Full-timeBengaluru, Karnataka, India₹1.5M - ₹2.5MIn-person

About the Job

Requirements

  • At least 8 years of professional experience in AI/ML engineering, focused on Generative AI.
  • Proficiency in Python, PyTorch, TensorFlow, and related deep-learning libraries.
  • A strong background in natural language processing or computer vision, depending on the domain.
  • Hands-on experience with cloud platforms such as AWS, Azure, or GCP, and containerization using Docker and Kubernetes.
  • Demonstrated ability to lead end-to-end AI projects from research to production.
  • Familiarity with MLOps practices, CI/CD pipelines, and model monitoring.
  • A bachelor's or master's degree in Computer Science, AI, or a related field.
  • Strong written and verbal communication skills in English.

Responsibilities

  • Design and implement end-to-end Generative AI architectures using Python and relevant libraries.
  • Develop reproducible data pipelines and model-training workflows for large-scale datasets.
  • Optimize model inference performance for deployment on cloud and edge platforms.
  • Conduct rigorous evaluation, validation, and A/B testing of generative models.
  • Collaborate with cross-functional teams to integrate AI solutions into the product suite.
  • Research state-of-the-art techniques and evaluate their applicability to business problems.
  • Mentor and coach junior engineers, fostering a culture of continuous learning.
  • Lead code reviews and enforce coding standards, documentation, and unit testing.
  • Ensure adherence to data privacy, security, and ethical guidelines in AI development.
  • Communicate complex technical concepts to non-technical stakeholders.

Desired Qualifications

  • Proven track record of mentoring and building high-performing engineering teams.

About the Company

Weekday AI

Proactive software engineer recruitment via referrals

Weekday.works helps companies hire software engineers through proactive outreach and peer-recommended candidates. Its platform automates tracking, pipeline management, and provides weekly updates, while it actively identifies engineers via peer networks, reaches out, shortlists, checks references, and schedules interviews. Differentiators include peer-backed vetting instead of traditional job boards, proactive outreach, and a passive-income reference feature that monetizes referrals. The goal is to reduce the time and effort of hiring by connecting companies with pre-vetted engineers who are open to new opportunities through a network-driven approach.

Company size
201-500
Company stage
Seed
Total funding
$2.3M
Headquarters
Bengaluru, India
Founded
2021

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