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Job Title


Senior Software Engineer – (Python, AI/ML & Generative AI)


Company : Programmers.io


Location : Hyderabad, Telangana


Created : 2026-04-10


Job Type : Full Time


Job Description

Job Description:Job Title: Senior Software Engineer – (Python, AI/ML & Generative AI)Shift Timings: Should be available till 9-9:30 PM ISTLocation: PAN INDIA Remote, Jaipur, Hyderabad, Pune, hybridExperience Required: 5 - 7 YearsWe are seeking an experienced Senior Software Engineer – AI/ML & Generative AI to design, develop, and deploy intelligent, cloud-native solutions. The ideal candidate will have strong hands-on expertise in machine learning, generative AI, cloud platforms (Azure/AWS), and Python-based backend development. This role involves working closely with business stakeholders, data scientists, and product teams to deliver scalable, secure, and production-ready AI solutions. Required Technical SkillsAI/ML & Generative AI DevelopmentDesign and implement end-to-end AI/ML pipelines, from business understanding to deployment.Develop Generative AI solutions using LLMs (OpenAI/Azure OpenAI/Gemini) for document processing, chatbots, and intelligent automation.Implement RAG (Retrieval-Augmented Generation) architectures using LangChain, vector stores, schema validation, and output parsers.Build and optimize models for NLP, forecasting, and computer vision use cases.Apply machine learning algorithms using Scikit-learn, TensorFlow, and PyTorchwhere applicable.Has worked with Amazon Bedrock.Backend & API DevelopmentDevelop scalable backend services and APIs using Python, FastAPI, Flask, and Django.Implement data pre-processing, post-processing, validation, and enrichment pipelines.Ensure APIs are secure, performant, and production ready.Cloud & DevOpsDesign and deploy AI solutions on Microsoft Azure, including:Azure OpenAIAzure Machine LearningAzure FunctionsAzure Logic AppsAzure Web AppsAzure Storage & Delta LakeAzure Key VaultAzure DevOps & CI/CD pipelinesDeploy and manage workloads using Docker and serverless architectures.AWS services such as EC2, Bedrock, SQS, SNS and S3 for selected workloads.Implement authentication and secrets management using Service Principals and Key Vaults.Apply MLOps best practices for model lifecycle management and monitoring.Data, Analytics & VisualizationWork with relational and cloud databases including Azure SQL Database and PostgreSQL.Collaborate with stakeholders to translate business needs into analytical and predictive solutions.