About the Client & Role:

Our client is a high-growth Manufacturing AI Platform building enterprise-scale SaaS products for mid-market manufacturing and supply chains.

They are seeking a Senior Fullstack Software Engineer to lead the architecture, design, and delivery of complex, scalable solutions across the stack. In this role, you will play a critical part in embedding cutting-edge Agentic AI & Generative AI capabilities into the core SaaS platform, setting a high bar for engineering quality, and mentoring junior engineers.

Total Experience: 5 - 8 years

Key Responsibilities:

Fullstack & AI Development:

- Architect, build, and maintain high-performance enterprise SaaS applications integrating Agentic AI and Generative AI workflows.

Technical Leadership:

- Lead the end-to-end design and delivery of complex solutions, resolve critical system bottlenecks, and mentor team members.

System Design & API Integration:

- Build robust RESTful APIs, cloud-native microservices, and distributed systems tailored for enterprise reliability.

Data & Performance Optimization:

- Model and optimize SQL/NoSQL databases, refine algorithm efficiency (time/space complexity), and maintain strict code quality standards.

Required Skills & Experience:

AI Expertise (Mandatory):

- Hands-on experience developing or integrating Agentic AI / Generative AI workflows alongside fullstack development.

Tech Stack:

- Frontend: HTML5, CSS3, JavaScript / modern JS frameworks.

- Backend: Java, Node.js, or Python.

- Database & Tools: SQL/NoSQL databases, data modeling, performance tuning, and Git version control.

- Core CS Foundations: Advanced knowledge of Data Structures, Algorithms, Complexity Analysis, and Object-Oriented Programming (OOP).

- Architecture: In-depth understanding of RESTful APIs, microservices, distributed systems, and cloud-native application communication.

Qualifications & Candidate Criteria:

Education:

- Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related technical discipline.

Location:

- Pune-based only (or local candidates ready to work 3 - 4 days on-site).

Notice Period:

- Immediate joiners to Max 30 Days.