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You will be updated with latest job alerts via emailAbout Us:
TechSee is a rapidly growing enterprise SaaS startup specializing in MultiSensory AI Digital Customer Experience solutions for contact centers and customer selfservice. 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 costeffectively build autonomous Agent and Customer multisensory AI Assistants creating nearhuman interactive experiences with AI Customer Service Agents. This helps companies provide a bestinclass 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 crossfunctional teams to deliver cuttingedge features and ensure the smooth operation of our core backend systems that support our multisensory AI products.
Responsibilities:
Lead the design development and implementation of highperformance 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:
Bachelors or Masters 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).
Handson 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 problemsolving 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 uptodate 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 TechSees marketleading AI and AR solutions.
Compensation: Solid base salary and incentives plan strong benefits and an ownership (equity) in a highgrowth 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 worklife 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.
Full Time