Sr. AI developer

This role is for one of the Weekday's clients

Requirements

Key Responsibilities

• Design and implement scalable AI architectures with focus on backend services, orchestration, and operationalization.
• Build modular pipelines for data preprocessing, model training, serving, and monitoring.
• Develop APIs, microservices, and backend logic for real-time AI model integration and inference.
• Collaborate with DevOps, data, and infrastructure teams to deploy AI models across cloud, hybrid, and edge environments.
• Apply best practices for CI/CD, containerization, and version control.
• Optimize performance with profiling, parallelization, and hardware-aware deployments (GPUs, Jetson, etc.).
• Ensure reproducibility and observability using tools like MLflow, Prometheus, and Grafana.
• Mentor junior engineers in scalable AI system design and engineering best practices.
  

Must-Have Skills

• Strong backend programming in Python (bonus: Go, Rust).
• Experience with FastAPI, Flask, gRPC, or similar frameworks.
• Deep understanding of the AI lifecycle — data ingestion → training → deployment → monitoring.
• Proficiency with Docker, Kubernetes, and CI/CD pipelines.
• Knowledge of distributed systems, asynchronous processing, and real-time API patterns.
• Experience with MLflow, DVC, or Weights & Biases.
• Comfortable with Linux systems and containerized AI deployments.
  

Nice to Have

• Exposure to computer vision (YOLO, UNet, transformers).
• Experience with streaming inference systems (e.g., NVIDIA DeepStream, Kafka).
• Hands-on with edge AI hardware (Jetson, Coral) and optimizations (ONNX, TensorRT).
• Familiarity with cloud platforms (AWS, GCP, Azure).
• Experience in synthetic data generation or augmentation.
• Open-source contributions or publications in AI/ML systems.
  

Qualifications

• B.E./B.Tech/M.Tech in Computer Science, Software Engineering, or related field.
• 5+ years of software engineering experience, ideally in AI/ML product companies.
• Proven track record of designing, building, and deploying production-grade AI systems.
  

Skills:

• Artificial Intelligence
• Machine Learning
• OpenCV
• TensorFlow
• Docker
• Node.js
• Express.js