About the Company:
We are a super ambitious AI and machine learning start-up, developing products that are geared towards achieving transformational outcomes for businesses and society at large. Our team of experts and AI enthusiasts are dedicated to using the latest advancements in AI technology to help our clients solve complex problems and streamline their operations. We understand that AI has the power to revolutionize industries and drive growth, and our goal is to be at the forefront of this transformation. As of today, our dedicated platform AI Vision (Artificial Intelligence Vision Intelligence) hosts 250+ industry-specific patterns, powers 20K+ cameras, and has revealed USD 25M revenue for reputed businesses across Australia, India, USA and Europe. Cogniphi is invested by UST ($1.4 Bn tech conglomerate https://www.ust.com/ ) As the Technical Lead, you will be responsible for leading a team of software engineers and overseeing the technical aspects of projects to ensure they are delivered within scope, timeline, and budget. You will play a critical role in developing our AI-based products and services, which are designed to drive transformational outcomes for our clients across a range of industries. At our company, we are driven by our passion for innovation and our commitment to excellence. We believe that the future belongs to AI, and we are excited to be a part of this exciting journey.
Key Responsibilities
- Lead and mentor the team technically.
- Participate in the full software development lifecycle and write code that gives the utmost performance, maintainable, clear, and concise.
- Build and maintain high-performance, fault-tolerant, and scalable applications/system.
- Translate business requirements into system design.
- Review the design, architecture, code, and test cases of the work completed by the team.
- Effort estimation for the new requirements or any changes required in the product.
- Developing a framework required for any specific requirements that can support junior developers.
- Preparing HLD and LLD documents, particularly for complex modules that cannot be handled by junior developers.
- Ensuring quality deliverables as per expectations with close coordination with the team.
- Ensuring best engineering practices are followed during development.
- Handle customer queries and complaints received directly or through the company support organization.
- Work closely with internal teams like Validation, Implementation, Support, Documentation, Solution team) and external stakeholders (Customer).
- Contribute to backlog grooming, sprint planning, reviews, and demos.
Requirements
- Experience in architecture, design, and development on .Net applications.
- Knowledge of Web Services, socket programming, Microservices.
- Excellent experience in debugging, problem-solving, and root cause analysis.
- Experience in writing Junit test cases and performance testing.
- Previous experience in Maven, Gitlab.
- Knowledge of AI, ML, BigData, Cloud, Broker Engine, Rule Engine, and Report Builder will be an advantage.
- Expertise with Map API providers, frameworks, and spatial DB will be an added advantage.
- Passion and commitment.
- Respect for individual ability, creativity, and diversity.
What You Will Gain:
- Opportunity to work on cutting-edge AI-based projects across multiple industries.
- Exposure to emerging technologies and the latest tools and frameworks.
- Supportive management and a collaborative work culture that encourages innovation and growth.
- Competitive salary and benefits package.
- Psychological safe workplace and medical insurance.
Interview Process:
Our interview process typically involves several rounds of interviews, including phone screening, technical assessments, and in-person interviews with hiring managers and cross-functional teams. During the interview process, you will have the opportunity to meet with members of our team and learn more about our company culture and the work we do. We strive to ensure that all candidates have a positive interview experience and receive timely feedback throughout the process.