Role Description: What Will You Do?
Design, develop, and test software components used by automotive dealerships to interact with their customers.
Lead the design, build, and integration of AI/ML solutions, including: developing and consuming LLM APIs, fine-tuning, and deploying models into production systems.
Collaborate directly with business stakeholders—including customers—to understand requirements and deliver impactful solutions.
Work across a variety of tech stacks (microservices, mobile development, cloud platforms, etc.) in a fast-moving, dynamic environment.
Mentor and review the work of SDE I engineers, helping them grow in technical expertise.
Take initiative to improve overall system architecture, scalability, and reliability.
Exercise ownership by challenging trade-offs between speed and reliability when building solutions (“pulling the Andon cord”).
Education & Experience
2–5 years of experience developing cloud-based software services with a solid understanding of design for scalability, performance, and reliability.




Hands-on experience deploying and optimizing AI/ML solutions in production environments. [Preferred]
Education: BTech or Equivalent 4yr degree in Computer Science/Engineering (Tier 1/Tier 2 institutes such as IIT/NIT preferred, but not required).
AI/ML Fundas
Data & ML Lifecycle: Can clearly explain the purpose and importance of train/validation/test splits. Understands "garbage in, garbage out" and the conceptual importance of data cleaning, normalization, and augmentation. Can explain the purpose of common metrics (e.g., accuracy, precision/recall, loss) and identify clear overfitting or underfitting from loss curves.
Neural Networks (NNs): Can intuitively explain the basic components of a neural network (neurons, layers, weights, activation functions). Understands how a network "learns" via loss functions, gradient descent, and backpropagation. Can differentiate between training and inference.
Transformers: Understands the motivation

📌 Software Developer II (Noida)
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📍 Noida