Programmers.io
Website:
programmers.io
Company:
https://www.linkedin.com/company/programmers-io
Seniority: Mid-Senior level
Industries: IT Services and IT Consulting
Job details:
Job Description:
Job Title: Senior Software Engineer – (Python, AI/ML & Generative AI)
Shift Timings: Should be available till 9-9:30 PM IST
Location: PAN INDIA Remote, Jaipur, Hyderabad, Pune, hybrid
Experience Required: 5 - 7 Years
We 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 Skills
AI/ML & Generative AI Development
- Design 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 PyTorch
where applicable.
- Has worked with Amazon Bedrock.
Backend & API Development
- Develop 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 & DevOps
- Design and deploy AI solutions on Microsoft Azure, including:
- Azure OpenAI
- Azure Machine Learning
- Azure Functions
- Azure Logic Apps
- Azure Web Apps
- Azure Storage & Delta Lake
- Azure Key Vault
- Azure DevOps & CI/CD pipelines
- Deploy 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 & Visualization
- Work with relational and cloud databases including Azure SQL Database and PostgreSQL.
- Collaborate with stakeholders to translate business needs into analytical and predictive solutions.
Click on Apply to know more.
