Senior Software Engineer, AI

PowerToFly; Gurgaon; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

PowerToFly seeks a skilled AI/ML engineer to design and deploy AI-powered applications using Generative AI, LLMs, and CV technologies. You will build scalable backends, APIs, and workflow orchestration while crafting RAG pipelines and intelligent assistants.

The role involves data pipelines, model deployment, and cloud-native solutions across Azure and other cloud platforms. Qualifications include 3+ years' experience, strong Python, ML/DL frameworks, CV techniques, and MLOps knowledge.

Qualifications

• Bachelor's or Master's in CS/AI/DS or related field with relevant industry experience.
• Strong programming skills in Python and ML/DL frameworks.
• Experience developing APIs, backend services, and distributed applications.
• Familiarity with CV techniques (OCR, image classification, segmentation, object detection).
• Understanding of LLMs, RAG, and Agentic AI concepts.
• Experience with cloud platforms (Azure/AWS/GCP).
• Knowledge of Docker, Kubernetes, and MLOps concepts.

Responsibilities

• Design, develop, and deploy AI-powered applications using Generative AI, LLMs, CV, ML, and Agentic AI.
• Build scalable backend services, APIs, and workflow orchestration for AI solutions.
• Design and implement RAG pipelines, intelligent assistants, and automation workflows.
• Develop CV and OCR solutions for image analysis, document digitization, and information extraction.
• Train, optimize, evaluate, and deploy ML/DL models for production.
• Build data pipelines for training, validation, and inference.
• Develop cloud-native AI apps and deploy on Azure and other clouds.
• Implement MLOps including model versioning, monitoring, CI/CD, and deployment automation.
• Collaborate with cross-functional teams to translate business/clinical needs into AI solutions.
• Create architecture docs, validation reports, and deployment artifacts.
• Stay current with AI, CV, LLMs, and Agentic AI advancements.

Skills

Python

ML/DL

APIs

Distributed systems

Cloud platforms

Docker

Kubernetes

MLOps

OCR/CV

Education

Bachelor's degree in CS/AI/DS

Master's degree in CS/AI/DS

Tools

PyTorch

TensorFlow

Job description

What You Will Do

• Design, develop, and deploy AI-powered applications leveraging Generative AI, Large Language Models (LLMs), Computer Vision, Machine Learning, and Agentic AI technologies.
• Build scalable backend services, APIs, and workflow orchestration components for AI solutions.
• Design and implement Retrieval-Augmented Generation (RAG) pipelines, intelligent assistants, and workflow automation solutions.
• Develop Computer Vision and OCR solutions for image analysis, document digitization, information extraction, and automation workflows.
• Train, optimize, evaluate, and deploy machine learning and deep learning models for production use.
• Build data pipelines supporting AI model training, validation, and inference workflows.
• Develop cloud-native AI applications and deploy solutions on Azure and other cloud platforms.
• Implement MLOps best practices including model versioning, monitoring, CI/CD, and deployment automation.
• Collaborate with cross-functional teams to translate business and clinical requirements into scalable AI solutions.
• Create technical documentation, architecture diagrams, validation reports, and deployment artifacts.
• Stay current with advancements in AI, Computer Vision, LLMs, and Agentic AI.

What You Will Need / 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; OR
• 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.

Preferred 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.

Stryker is a global leader in medical technologies and, together with its customers, is driven to make healthcare better. The company offers innovative products and services in MedSurg, Neurotechnology, Orthopaedics and Spine that help improve patient and healthcare outcomes. Alongside its customers around the world, Stryker impacts more than 150 million patients annually.