AI Engineer

• *Responsibilities \& Key Deliverables**
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• Design, develop, and maintain backend services and APIs to support AI/ML applications at scale.

• Productionize ML and deep learning models, ensuring efficiency, reliability, and low\-latency inference.

• Build scalable microservices and REST/gRPC APIs for deploying AI solutions in enterprise environments.

• Optimize AI model serving using frameworks such as TensorRT, ONNX Runtime, Triton Inference Server, or FastAPI.

• Implement MLOps practices including model versioning, monitoring, and automated deployments.

• Collaborate with AI researchers, data scientists, and product managers to translate prototypes into production\-ready systems.

• Ensure robustness, fault tolerance, and security in backend AI systems.

• Integrate AI services with enterprise data platforms, cloud systems, and third\-party APIs.

• Contribute to architecture discussions, design reviews, and performance tuning.

• *Experience**
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2\-5 Years of work experience in AI Engineering

• *Industry Preferred**
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Experience in working with Applied AI companies

• *Qualifications**
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• Bachelor’s degree / Master’s degree with experience in Computer Science, Software Engineering, Data Science, or related fields.

• Preferred to have degree from a Tier\-1/2 institute or a globally top\-ranked university (as per QS).

• *General Requirements**
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Technical Requirements

• Strong proficiency in Python and backend frameworks (FastAPI).

• Expertise in Prompt engineering and working with various LLMs.

• Experience in productionizing AI/ML models with efficient inference pipelines.

• Hands\-on experience with model deployment frameworks (Triton, TensorRT, TorchServe, ONNX Runtime).

• Knowledge of cloud platforms (Azure, GCP) and container technologies (Docker).

• Strong experience with microservices architecture, CI/CD pipelines, and monitoring tools (Prometheus, Grafana).

• Familiarity with databases (SQL/NoSQL) and scalable data storage solutions.

• Exposure to LLMs, SLMs, and GenAI model integration into backend systems is a strong plus.

• Understanding of security, authentication, and performance optimization in large\-scale systems.

• Experience with version control (Git) and Agile development practices

• *Our commitment to Diversity, Equity, and Inclusion**
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• *Job Segment:** Software Engineer, Engineer, Engineering