Senior Software Engineer (Python, GEN AI, AI/ML)

Programmers.io; Pune District; Hybrid; INR 1,500,000 - 2,000,000; Full time

Job summary

Programmers.io is seeking an experienced Senior Software Engineer specializing in Python, AI, and Machine Learning. This role involves designing and implementing end-to-end AI/ML pipelines, developing generative AI solutions, and optimizing models for various applications.

The ideal candidate will have 6-14 years of experience and strong hands-on expertise in machine learning, generative AI, and cloud platforms. A hybrid work model is offered for certain locations.

Qualifications

• 6-14 years of experience in relevant fields.
• Strong expertise in end-to-end AI/ML pipeline development.
• Hands-on experience with Python-based backend development.

Responsibilities

• Design and implement end-to-end AI/ML pipelines.
• Develop generative AI solutions using LLMs.
• Implement RAG architectures using LangChain and vector stores.
• Build and optimize models for NLP and computer vision.
• Apply machine learning algorithms using popular libraries.

Skills

Machine learning

Generative AI

Cloud platforms (Azure/AWS)

Python

RAG (Retrieval-Augmented Generation)

FastAPI

Tools

Scikit-learn

TensorFlow

PyTorch

Job description

We are seeking an experienced Senior Software Engineer – Python + AI/ML & Generative AI

The ideal candidate will have strong hands‑on expertise in machine learning, generative AI, cloud platforms (Azure/AWS), and Python-based backend development.

Experience - 6-14 years

Notice Period - IMMEDIATE JOINERS ONLY

Skill- Python, Generative ai/LLM, Rag. fast api

Job Location - work from home (Hybrid for Jaipur, Hyderabad)

JOB DESCRIPTION

• 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