Job Overview
            
                
                    Company
                    ProDT Consulting Services
                 
                
                
                
             
            
            
         
        
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            Job Description
            
                Job Title: Tech Lead – Python Full Stack Developer (AI & Saa S)
Experience: 4+ years
Location: Pune
Employment Type: Full-time
About the Role
We are seeking a Tech Lead with strong Python Full Stack expertise to drive the design, development, and implementation of scalable AI-powered Saa S solutions.
The ideal candidate should have hands-on experience leading small teams, architecting cloud-based products, and integrating AI models into production-grade applications.
Key Responsibilities
- Lead the end-to-end development of AI-driven Saa S products using modern full-stack technologies.
- Architect, design, and maintain scalable backend systems using Python (Django / Flask / Fast API).
- Build and optimize responsive front-end interfaces using React / Angular / Vue.js.
- Collaborate with AI/ML teams to integrate models, APIs, and data pipelines.
- Manage code quality, reviews, deployment pipelines, and version control.
- Provide technical leadership, mentor developers, and ensure best coding practices.
- Work closely with product and design teams to translate business requirements into technical deliverables.
- Ensure application performance, security, and scalability across cloud platforms (AWS / GCP / Azure).
Technical Skills
- Programming: Python (Django / Flask / Fast API), Java Script (React / Angular / Vue)
- Database: Postgre SQL / My SQL / Mongo DB / Redis
- Cloud & Dev Ops: AWS / GCP / Azure, Docker, Kubernetes, CI/CD (Jenkins / Git Hub Actions)
- AI Integration: Knowledge of APIs, model deployment, Open AI/LLM integrations preferred
- Version Control: Git, Git Hub / Git Lab
- Other Tools: REST APIs, Graph QL, Web Sockets, Microservices architecture
Preferred Qualifications
- Experience with AI or ML-based Saa S products.
- Exposure to data processing, NLP, or predictive analytics.
- Strong problem-solving and leadership abilities.
- Excellent communication and collaboration skills.
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