Lead Software Engineer @ Franklin Templeton
(práce v Polsku)

Lead Software Engineer @ Franklin Templeton

Polsko

What ideal qualifications, skills & experience would help someone to be successful?

• Bachelor’s degree in Computer Science, Software Engineering, or a related field. A Masters degree is preferred.
• Courses or certifications in AI, machine learning, or data science are highly desirable.
• 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.

At Franklin Templeton, we’re advancing our industry forward by developing new and innovative ways to help our clients achieve their investment goals. Our dynamic and diversified firm spans asset management, wealth management, and fintech, offering many ways to help investors make progress toward their goals. Our talented teams working around the globe bring expertise that’s both broad and unique. From our welcoming, inclusive, and flexible culture to our global and diverse business, we provide opportunities to help you reach your potential while helping our clients reach theirs.

Come join us in delivering better outcomes for our clients around the world!

What is The Lead Software Engineer in the FTT AI & Digital Transformation group responsible for?

The Lead Software Engineer in the FTT AI & Digital Transformation group is responsible for designing, developing, and implementing cutting-edge generative AI tools-based products. These products are tailored for internal use, primarily benefiting sales and distribution teams as well as Operations teams. The engineer will collaborate closely with cross-functional teams to understand user needs, translate these requirements into technical specifications, and ensure that the solutions developed are scalable, efficient, and user-friendly. Moreover, the engineer will be at the forefront of integrating advanced AI methodologies into practical applications, driving innovation and enhancing operational workflows.

Experience our welcoming culture and reach your professional and personal potential!

Building teams with diverse skills, backgrounds, and experiences has always been important to us. Cultivating an inclusive culture where employees feel safe to share their voices is not only beneficial for our people, but also drives innovation and enables us to deliver better client outcomes. So, no matter your interests, lifestyle, or background, there’s a place for you at Franklin Templeton. We will provide you with tools, resources, and learning opportunities to help you excel in your career and personal life.

We want our employees to be at their best. By joining us, you will connect with a culture that focuses on employee well-being and provides multidimensional support for a positive and healthy lifestyle. We understand that benefits are at the core of employee well-being and may vary depending on individual needs. Whether you need support for staying physically and mentally healthy, saving for lifes adventures, taking care of your family members, or making a positive impact in your community, we aim to have you covered. 

,[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 new 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.] Requirements: Frontend, React, Backend, Python, Django, AI, Machine learning, Data science Additionally: Private healthcare, International projects, Sport subscription, Language classes, Investment Programs, Gym, Canteen, Bike parking, Playroom, Shower, Kindergarten, Free coffee, No dress code, Modern office, Company childcare, Company events!.

Kategorie

fullstack

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