Sr. AI developer

1 week ago

India Weekday AI Full time ₹ 15,00,000 - ₹ 25,00,000 per year

This role is for one of the Weekday's clients

Min Experience: 5 years

JobType: full-time

This role is ideal for someone who thinks like a backend engineer but speaks the language of AI — bridging the gap between advanced AI development and real-world deployment at scale. We are looking for a Senior AI Developer with strong backend engineering and architectural expertise to design, build, and scale production-grade AI systems.

This is a hands-on, technical role that involves working across data pipelines, APIs, model serving, and monitoring — ensuring robustness, reproducibility, and automation throughout the AI lifecycle.

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:
Python · Artificial Intelligence · Machine Learning · OpenCV · TensorFlow · Docker · ·

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