Python/Django Developer

Key Responsibilities:

• Design, develop, and deploy AI models focusing on Generative AI, LLMs, small language models, and AI agents for automation and chat-based applications.
• Develop and implement autonomous AI agents capable of handling real-time decision-making and workflow automation.
• Integrate AI solutions into products, leveraging tools like Make.com, n8n, and similar automation frameworks for seamless workflows.
• Optimize AI models for efficiency, scalability, and real-world application in production environments.
• Develop and fine-tune LLMs and small language models tailored for specific business needs.
• Implement AI-powered automation for customer support, process optimization, and intelligent decision-making.
• Collaborate with data scientists, engineers, and product managers to define AI-driven solutions that enhance business operations.
• Ensure high-performance AI models by implementing best practices in data processing, model training, evaluation, and deployment.
• Mentor junior AI engineers and contribute to knowledge sharing within the team.
• Stay ahead of the curve by researching emerging AI trends and evaluating their potential impact on business strategies.

Required Skills and Experience
Experience:

• 1 year of hands-on experience
• Proven track record of building and deploying AI-powered chatbots, AI agents, and workflow automation tools.

Technical Expertise:

• Strong programming skills in Python (preferred) and experience with AI/ML frameworks like TensorFlow, PyTorch, Keras, and Scikit-learn.
• Experience with LLM fine-tuning, model compression, and small language models for efficiency.
• Familiarity with Make.com, n8n, LangChain, AutoGPT, or other agentic AI tools for automation.
• Strong understanding of NLP, conversational AI, and chatbot development.
• Experience in cloud platforms like AWS, Google Cloud, or Azure for AI model deployment.
• Knowledge of vector databases, embeddings, and retrieval-augmented generation (RAG) techniques.
• Experience with big data technologies such as Hadoop, Spark, or similar is a plus.

Preferred Qualifications:

• Experience integrating AI models into business workflows to enhance automation and efficiency.
• Familiarity with API development and integrations to connect AI services with other systems.
• Exposure to MLOps and AI model lifecycle management.
• Knowledge of prompt engineering and AI model optimization techniques.

Job Type: Full-time

Pay: ₹20,000.00 - ₹25,000.00 per month

Benefits:

• Provident Fund

Schedule:

• Day shift

Experience:

• AI/ML: 1 year (Required)

Work Location: In person