Python AI Developer

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Experience Required:

About the Role

We are looking for a skilled Python AI Developer with solid experience in building, deploying, and maintaining AI-driven applications. You will work from prototyping to production deployment using modern AI tools and Python-based frameworks.

The ideal candidate is strong in Python, familiar with AI coding tools, and has experience developing and deploying functional application software.

Key Responsibilities

• Develop, test, and deploy AI-driven applications using Python
• Build end-to-end features from backend logic to production deployment
• Integrate third-party APIs, AI models, and automation workflows
• Use productivity tools like Replit, Cursor, and AI coding assistants to speed up development
• Work with vector stores, embeddings, LLM APIs, and Python libraries
• Optimize and maintain existing codebases and pipelines
• Collaborate with product and PM teams to convert requirements into deliverables
• Implement basic DevOps tasks related to deployment, version control, and CI/CD
• Maintain high code quality, documentation, and testing coverage

Required Skills Technical

• Strong proficiency in Python (3+ years)
• Experience with AI tools such as Replit, Cursor, ChatGPT-based workflows
• Experience building and deploying applications (web apps, APIs, bots, automation tools)
• Familiarity with:
• FastAPI / Flask / Django
• LangChain / LlamaIndex/n8n (optional but preferred)
• Vector DBs (Pinecone, FAISS, Chroma)
• REST APIs / Webhooks
• Git & basic DevOps
• Experience with hosting/deployment platforms (AWS, Azure, GCP, Railway, Render, Vercel)
• Ability to build complete features independently
• Understands lifecycle: requirements → development → testing → deployment → maintenance
• Strong problem-solving and debugging skills
• Ability to work remotely with discipline and accountability

Preferred

• Experience with automation bots (Telegram, WhatsApp, Slack)
• Experience with Replit Deployments or serverless systems
• Experience in integrating LLMs into production apps