GENWORX.AI TECHNOLOGY SOLUTIONS PRIVATE LIMITED
Software Engineer - II (SDE 2)
Be an Early Applicant
The Software Engineer will develop and maintain generative AI applications, integrating machine learning models and optimizing performance while mentoring junior engineers.
About Genworx.ai
Requirements
Benefits
Genworx.ai is an AI-first technology
company helping enterprises move beyond AI experimentation to production-ready,
business-impacting solutions. We specialize in building Agentic AI platforms,
intelligent automation solutions, and enterprise AI applications that deliver
measurable outcomes with speed, reliability, and scalability. Our mission is to
simplify AI and amplify customer success through innovation, operational
excellence, and customer-centric delivery.
We are looking for a highly motivated
Digital Marketing Specialist who can take ownership of our digital presence and
execute impactful marketing initiatives across multiple online channels. The
ideal candidate should have expertise in Digital Marketing, Website Management,
SEO, LinkedIn Marketing and Social Media Marketing, with the ability to
independently execute campaigns that improve brand awareness, website traffic,
engagement and lead generation.
Job Description: Full Stack Developer (Backend-Focused)
We are looking for a Full Stack Developer with strong expertise in backend development using Python and FastAPI. The role is primarily backend-focused, and only basic to intermediate frontend knowledge (around 20–30%) is required. The ideal candidate should have solid experience in designing, developing, and maintaining scalable backend systems and APIs.
Requirements
Qualifications:
- Education: Bachelor’s or master’s degree in computer science, Software Engineering, Artificial Intelligence, or related field.
Technical Skills:
Full Stack Developer (Backend-Focused / Backend - Heavy)
- Proficiency in back-end technologies: Python, Fast API
- Proficiency in front-end technologies: HTML, CSS, JavaScript (ReactJS or AngularJS)
- Strong understanding of databases: SQL (MySQL/PostgreSQL) and NoSQL (MongoDB).
- Cloud platforms such as Google Cloud, AWS, Azure
- Knowledge of containerization tools (Docker, Kubernetes)
Generative AI frameworks (Good to have): Lang Chain, Lang Graph, Crew AI
Key Responsibilities:
1. Problem Solving and Design:
- Analyze and address complex challenges in generative AI and application development.
- Propose and implement scalable, efficient solutions tailored to real-world use cases.
2. Software Development and Integration:
- Develop, test, and maintain front-end and back-end components for generative AI applications.
- Implement and manage APIs to integrate AI models into web platforms.
- Debug and resolve application issues, ensuring smooth operation and integration.
3. Generative AI Development:
- Integrate pre-trained models, including large language models (LLMs).
- Optimize AI solutions for performance, scalability, and reliability.
- Experiment with new generative AI frameworks and technologies to enhance application capabilities.
4. Operational Excellence:
- Maintain high standards of performance, security, and scalability in design and implementation.
- Monitor and troubleshoot system performance to ensure reliability.
- Document technical workflows and ensure team adherence to operational guidelines.
5. Team Collaboration and Mentorship:
- Work closely with cross-functional teams, including product managers, Developers, and designers, to deliver high-quality solutions.
- Mentor junior engineers, fostering a collaborative and learning-oriented environment.
- Participate in code reviews, brainstorming sessions, and team discussions.
6. Continuous Learning and Innovation:
- Stay updated on the latest trends in generative AI, cloud platforms, and full-stack development.
- Experiment with new tools and frameworks to drive innovation.
Benefits
What
We Offer:
• A vibrant and innovative
work environment focused on generative AI solutions.
• Competitive salary and
benefits package tailored for mid-level engineers.
• Opportunities to work on
state-of-the-art AI projects with industry experts.
• A culture that values
creativity, collaboration, and continuous learning
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