AI Software Engineer

13 days ago

Bengaluru, IndiaSenior

Responsibilities

Design and develop AI-enabled applications and backend services.
Integrate, productionize, package, deploy, and serve machine learning models through APIs and services.
Build scalable, reliable, testable, containerized, and cloud-native software for AI workloads.
Optimize AI systems for latency, throughput, inference performance, and cost efficiency.
Implement monitoring, logging, alerting, versioning, and root-cause analysis for production AI services.
Build and maintain CI/CD pipelines and automate testing, deployment, and environment management.
Collaborate with Data Scientists, MLOps Engineers, Data Engineering, Cloud, and Platform teams.
Contribute to coding standards, documentation, best practices, and secure, compliant, responsible AI deployment.

Preferred: 6+ years of total engineering experience.
Strong Python and software engineering fundamentals, with experience designing backend services and APIs.
Experience integrating inference into applications and working with real-time or low-latency inference systems.
Knowledge of PyTorch, TensorFlow, or scikit-learn and model-serving frameworks such as FastAPI, TorchServe, or TF Serving.
Experience with AWS, Azure, or GCP; Docker; Kubernetes; and infrastructure-as-code tools such as Terraform, ARM/Bicep, or CloudFormation.
Familiarity with CI/CD tools including GitHub Actions, GitLab CI, Azure DevOps, or Jenkins.
Familiarity with monitoring and logging tools such as Prometheus, Grafana, ELK, or cloud-native tools, plus Git, SQL, and message queues or streaming platforms such as Kafka.
Experience with MLOps pipelines, model lifecycle tools, enterprise or regulated environments, and cloud or AI-related certifications is preferred.
Ability to optimize system performance, collaborate across research and engineering teams, communicate clearly, document work, and own production reliability.

Hybrid work mode in Bangalore with 3 days in the office.
Flexible working environment, development opportunities, employee resource groups, wellness incentives, recognition and performance awards, and location-specific total rewards.