01 Oct
Franklin Templeton
Secunderabad
What are the ongoing responsibilities of the Lead Software Engineer
- Development and Implementation: Design, code, test, and deploy AI-based tools and applications using contemporary technologies. Ensure robust, scalable, and maintainable code.
- Collaboration with Stakeholders: Work closely with sales, distribution, and operations teams to gather requirements, understand challenges, and provide tailored solutions. Act as a bridge between technical and non-technical teams.
- AI Integration: Integrate generative AI algorithms and models into software products to enhance functionality and user experience. Stay updated with the latest advancements in AI and machine learning.
- System Maintenance:
Maintain and improve existing software systems by identifying and fixing bugs, optimizing performance, and implementing recent features based on user feedback.
- Documentation: Create and maintain comprehensive documentation for all development activities, ensuring that future modifications and maintenance can be conducted efficiently.
- Quality Assurance: Conduct regular testing and code reviews to ensure high standards of quality and reliability in all software products.
- Training and Support: Provide training and technical support to end-users, ensuring they can effectively utilize the developed tools. Gather feedback to continuously improve the products.
- Innovation and Research: Conduct research and feasibility analysis for new technologies and approaches to keep the companys AI tools at the cutting edge.
What ideal qualifications, skills & experience would help someone to be successful
- Bachelor s degree in computer science, Software Engineering, or a related field. A master s degree is preferred.
- Courses or certifications in AI, machine learning, or data science are highly desirable.
Work Experience:
- 8-10 years of experience in software development, with a focus on building AI-based applications.
- Proficiency in full stack development, or specialization in frontend technologies (React) or backend frameworks (Python, Django).
- Experience working with cross-functional teams and integrating AI solutions into business processes.
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