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Sr. AI developer

Sr. AI developer

Weekday AIIN
22 days ago
Job type
  • Remote
  • Quick Apply
Job description

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.

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 : Python

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