BACKEND TECHNICAL LEAD

About Us: TechSee is a rapidly growing enterprise SaaS startup specializing in Multi-Sensory AI Digital Customer Experience solutions for contact centers and customer self-service. We empower Fortune 500 companies to revolutionize their customer service interactions through an innovative framework that combines Computer Vision, Large Language Model models, and Augmented Reality. This approach allows us to effortlessly and cost-effectively build autonomous Agent and Customer multisensory AI Assistants, creating near-human interactive experiences with AI Customer Service Agents. This helps companies provide a best-in-class customer experience at a fraction of the cost.The Opportunity:We are looking for experienced Tech Lead to join our dynamic team. In this role, you will be responsible for driving the backend architecture, developing scalable Python solutions, and mentoring a talented team of engineers. You will work closely with cross-functional teams to deliver cutting-edge features and ensure the smooth operation of our core backend systems that support our multi-sensory AI products. Responsibilities:
Lead the design, development, and implementation of high-performance backend solutions in Python.
Architect scalable systems, ensuring seamless integration with various platforms, including AI/ML pipelines.
Mentor and guide a team of engineers, driving best practices in coding, architecture, and collaboration.
Collaborate closely with the product and the developments teams to ensure successful feature development and delivery.
Oversee and optimize CI/CD pipelines, ensuring efficient deployment and integration processes.
Stay current with industry trends and emerging technologies, ensuring TechSee remains at the forefront of backend development.
Requirements:
Bachelor’s or Master’s degree in Engineering, Computer Science, Information Systems, or a related field.
2+ years of experience as a Tech Lead.
5+ years of backend development experience with Python.
Experience with Django, FastAPI, Celery, Poetry.
Familiarity with both SQL and NoSQL databases (like MongoDB and Postgres).
Hands-on experience with AWS services, particularly with serverless architectures.
Experience with CI/CD processes and tools such as Jenkins, Docker, and Kubernetes (Advantage)
Experience with Machine Learning frameworks such as TensorFlow and PyTorch (Advantage).
Experience in ML Ops and Cloud infrastructure (Advantage).
Strong problem-solving skills, with a track record of resolving complex backend challenges.
Excellent interpersonal and communication skills, with the ability to work effectively across teams.
A continuous learner, with a passion for staying up-to-date on backend technologies and trends.
Why work with us ?At TechSee we encourage a culture that values collaboration and we prioritize teamwork as the cornerstone of our business, essential for achieving success.
Career path: This role serves as a launching point into further roles in the R&D team.
Training: Personal development programs and professional training. In addition, learning TechSee’s market-leading AI and AR solutions.
Compensation: Solid base salary and incentives plan, strong benefits and an ownership (equity) in a high-growth SaaS venture.
Tools: Provide you with the resources needed to achieve your goals.
Work environment: TechSee is a hybrid work environment, with frequent social activities. We prioritize a healthy work-life balance, supporting our diverse team from various backgrounds and locations. We take pride in fostering career growth, team engagement, employee recognition, and an innovative workspace.
Success: TechSee has established a global presence, trusted by Tier 1 enterprise customers across the telecom, consumer electronics, manufacturing, insurance and many other industries.
As we continue to build a positive environment that has brought us this far, we invite you to consider joining us in shaping the future of customer experience!TechSee is an equal opportunity employer, and we encourage candidates of all backgrounds to apply.Join Our Team at TechSee! To apply, please submit your resume.