Senior Software Engineer, AI
HybridGurugram, Haryana, India
Job Summary
Design, develop, and deploy AI-powered applications leveraging Generative AI, Large Language Models, Computer Vision, and Machine Learning. Build scalable backend services, APIs, and workflow orchestration components, including Retrieval-Augmented Generation pipelines and intelligent assistants. Develop Computer Vision and OCR solutions for image analysis and document digitization while training, optimizing, and deploying machine learning models for production use. Construct data pipelines supporting model training and inference, implement MLOps best practices, and deploy cloud-native solutions on Azure. Collaborate with cross-functional teams to translate business requirements into scalable AI solutions and create technical documentation.
Required Qualifications
- Bachelor's Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Software Engineering, Electrical Engineering, or a related field with 3+ years of relevant industry experience
- Master's Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Software Engineering, Electrical Engineering, or a related field
- Strong programming skills in Python
- Experience with machine learning and deep learning frameworks such as PyTorch or TensorFlow
- Experience developing APIs, backend services, and distributed applications
- Familiarity with Computer Vision techniques including OCR, image classification, segmentation, and object detection
- Understanding of LLMs, Prompt Engineering, Retrieval-Augmented Generation (RAG), and Agentic AI concepts
- Experience working with structured and unstructured data and building data pipelines
- Experience with cloud platforms such as Azure, AWS, or GCP
- Knowledge of databases, version control systems, CI/CD pipelines, and software development best practices
- Familiarity with Docker, Kubernetes, and MLOps concepts
Desired Qualifications
- Experience with Azure AI Services, Azure OpenAI, Azure Machine Learning, or similar AI platforms
- Experience with LangChain, LangGraph, Semantic Kernel, AutoGen, or equivalent AI frameworks
- Experience building production-grade GenAI, RAG, OCR, or intelligent document processing solutions
- Experience with MLflow, monitoring tools, and model lifecycle management
- Exposure to healthcare, medical imaging, or regulated environments
- Experience creating technical architecture documentation and contributing to solution design discussions
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