Sr. AI developer

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 · Node.js · Express.js