Full Stack Developer

Role Overview

We are seeking a highly skilled and experienced Senior AI Engineer with deep expertise in computer vision and architectural design. The ideal candidate will lead the development of robust, scalable AI systems, drive architectural decisions, and contribute significantly to the deployment of real-time video analytics, multi-model systems, and intelligent automation

solutions.

Key Responsibilities

 Design and lead the architecture of complex AI systems in the domain of computer vision and real-time inference.

 Build and deploy models for object detection, image segmentation, classification, and tracking.

 Mentor and guide junior engineers on deep learning best practices and scalable software engineering.

 Drive end-to-end ML pipelines: from data ingestion and augmentation to training, deployment, and monitoring.

 Work with YOLO-based and transformer-based models for industrial use-cases.

 Lead integration of AI systems into production with hardware, backend, and DevOps teams.

 Develop automated benchmarking, annotation, and evaluation tools.

 Ensure maintainability, scalability, and reproducibility of models through version control, CI/CD, and containerization.

Required Skills

 Advanced proficiency in Python and deep learning frameworks (PyTorch, TensorFlow).

 Strong experience with YOLO, segmentation networks (UNet, Mask R-CNN), and

tracking (Deep SORT).

 Sound understanding of real-time video analytics and inference optimization.

 Hands-on experience designing model pipelines using Docker, Git, MLflow, or similar tools.

 Familiarity with OpenCV, NumPy, and image processing techniques.

 Proficiency in deploying models on Linux systems with GPU or edge devices (Jetson, Coral)

Good to Have

 Experience with multi-model orchestration, streaming inference (DeepStream), or virtual camera inputs.

 Exposure to production-level MLOps practices.

 Knowledge of cloud-based deployment on AWS, GCP, or DigitalOcean.

 Familiarity with synthetic data generation, augmentation libraries, and 3D modeling tools.

 Publications, patents, or open-source contributions in the AI/ML space.

Qualifications

 B.E./B.Tech/M.Tech in Computer Science, Electrical Engineering, or related field.

 4+ years of proven experience in AI/ML with a focus on computer vision and system- level design.

 Strong portfolio or demonstrable projects in production environments

We are seeking a Python Full Stack Developer Intern with a passion for coding and learning to join our team. This role offers an excellent opportunity to work on both backend and frontend technologies in real-world projects.

Responsibilities:

• Develop and maintain web applications using Python and relevant frameworks (e.g., Django, Flask).
• Build responsive front-end interfaces using HTML, CSS, and JavaScript (React/Angular is a plus).
• Collaborate with team members to design and implement features.
• Debug and troubleshoot application issues.
• Assist in writing APIs and integrating third-party services.
• Document code and processes for seamless project management.

Requirements:

• Basic knowledge of Python and web frameworks like Django or Flask.
• Familiarity with front-end technologies (HTML, CSS, JavaScript).
• Understanding of databases (MySQL, PostgreSQL, or MongoDB).
• Strong problem-solving skills and a willingness to learn.
• Exposure to Git and version control is a plus.

Job Title - Cloud Fullstack Engineer

Experience Required - 5 Years

Location - Mumbai

Immediate joiners are preferred.

About the Job

As a Cloud Fullstack Engineer you will design, develop, and maintain end-to-end solutions for cloud-based applications. The Cloud Fullstack Engineer will be responsible for building both frontend and backend components, integrating them seamlessly, and ensuring they work efficiently within a cloud infrastructure.

What You’ll Be Doing

• Frontend Development
• Design and implement user-friendly and responsive web interfaces using modern frontend technologies (e.g., React, Angular, Vue.js).
• Ensure cross-browser compatibility and mobile responsiveness of web applications.
• Collaborate with UX/UI designers to translate design specifications into functional and visually appealing interfaces.
• Backend Development
• Develop scalable and high-performance backend services and APIs to support frontend functionalities.
• Design and manage cloud-based databases and data storage solutions.
• Implement authentication, authorization, and security best practices in backend services.
• Cloud Integration
• Build and deploy cloud-native applications using platforms such as AWS, Google Cloud Platform (GCP), or Azure.
• Leverage cloud services for computing, storage, and networking to enhance application performance and scalability.
• Implement and manage CI/CD pipelines for seamless deployment of applications and updates.
• End-to-End Solution Development
• Architect and develop fullstack applications that integrate frontend and backend components efficiently.
• Ensure data flow between frontend and backend is seamless and secure.
• Troubleshoot and resolve issues across the stack, from UI bugs to backend performance problems.
• Performance Optimization
• Monitor and optimize application performance, including frontend load times and backend response times.
• Implement caching strategies, load balancing, and other performance-enhancing techniques.
• Conduct performance testing and address bottlenecks and scalability issues.
• Security and Compliance
• Implement security best practices for both frontend and backend components to protect against vulnerabilities.
• Ensure compliance with relevant data protection regulations and industry standards.
• Conduct regular security assessments and audits to maintain application integrity.
• Collaboration and Communication
• Work closely with cross-functional teams, including product managers, designers, and other engineers, to deliver high-quality solutions.
• Participate in code reviews, technical discussions, and project planning sessions.
• Document code, processes, and architecture to facilitate knowledge sharing and maintainability.
• Continuous Improvement
• Stay updated with the latest trends and advancements in frontend and backend development, as well as cloud technologies.
• Contribute to the development of best practices and standards for fullstack development within the team.
• Participate in knowledge-sharing sessions and provide mentorship to junior engineers.

What We Need To See

• Strong experience in both frontend and backend development, as well as expertise in cloud technologies and services.
• Experience in fullstack development, with a strong focus on both frontend and backend technologies.
• Proven experience with cloud platforms (AWS, GCP, Azure) and cloud-native application development.
• Experience with modern frontend frameworks (e.g., React, Angular, Vue.js) and backend technologies (e.g., Node.js, Java, Python).

• Technical Expertise:

1. FrontEnd

• Handon Experience with HTML5, CSS, JavaScript, ReactJs, Next.js, redux, JQuery

2. Proficiency in Backend Development

• Strong experience with backend programming languages such as Node.js, Python
• Expertise in working with frameworks such as NestJS, Express.js, or Django.

3. Microservices Architecture

• Experience designing and implementing microservices architectures.
• Knowledge of service discovery, API gateways, and distributed tracing.

4. API Development

• Proficiency in designing, building, and maintaining RESTful and GraphQL APIs.
• Experience with API security, rate limiting, and authentication mechanisms (e.g., JWT, OAuth).

5. Database Management

• Strong knowledge of relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g. MongoDB).
• Experience in database schema design, optimization, and management.

6. Cloud Services

• Hands-on experience with cloud platforms such as Azure,AWS or Google Cloud.
• Security: Knowledge of security best practices and experience implementing secure coding practices.
• Soft Skills:
• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration skills, with the ability to work effectively in a team environment.
• Ability to manage multiple priorities and work in a fast-paced, dynamic environment.

SiteRecon is looking for an Engineering Leader who can visualize the nuts and bolts of the product architecture and bring it to life. You will be responsible for leading the engineering team and contributing to product conception from an engineering standpoint. You will also be the thought leader for engineering in the team. 

You will lead the development of new smart web applications and you will be mainly involved in the development of our platform (SiteRecon). You will be working in an exciting environment alongside people with tremendous ambition. You will have the freedom to implement your own designs & solutions. You will be working together with the core team of SiteRecon - all graduates from IITs working at the cutting edge for the past few years, CEO, CPO, and CDS. 

Role and Responsibilities:

• Ensure high-quality customer experience through our products. 
• Hiring and retaining engineering teammates. 
• Inculcate a culture where high-quality engineers can thrive and grow. 
• Contribute to product conception from an engineering perspective.
• Take complete, end to end ownership of development and production pipelines of internal tools and consumer-facing products.
• Ensure high performance, reliability, and availability of hosted deep learning and geoprocessing services.
• Translate high-level tasks and product requirement documents into technical design documents and scalable, maintainable and readable codebases.
• Develop and implement high and low-level system design for engineering projects.
• Develop scripts and set up the infrastructure for monitoring and logging for all deployed software.
• Coordinate with internal teams to understand data processing pipelines and provide technical solutions.
• Effectively lead teams of junior developers and ensure high code quality through code reviews, automated linting, etc.
• Represent engineering team before stakeholders outside SiteRecon (users, investors, job candidates)

Does This Sound Like You?

Must Haves:  

• 3+ years of experience in the backend (preferably Django), frontend and software design and architecture.
• Experience with DevOps technologies such as Docker, Kubernetes, Jenkins or CI/CD.
• Knowledge of messaging services like Apache Kafka, RabbitMQ.
• Understanding of cloud services like AWS and GCP.
• Experience working at a startup that scaled while you were there.
• Experience managing a team, converting product requirements into engineering sow.

Good To Haves:  

• Experience with PostGIS or any other geo-database.
• Understanding of Geographic Information Systems and related terminologies.
• Experience in developing production versions of deep learning applications.

Candidate attribute (Culture Fit):

• Comfortable operating in a constantly changing and fast-paced environment.
• A passionate, driven individual who can achieve results through both, independently and teamwork and collaborative approaches.
• Have a strong work ethic and natural ownership ability.