About the Role
The candidate will lead the development of AI-powered features integrated within a full-stack architecture, maintaining high performance, clean code, and seamless user experiences.
Responsibilities
- Develop and maintain frontend interfaces using modern JavaScript frameworks
- Build and optimize backend services and APIs
- Integrate machine learning models into production environments
- Collaborate with data scientists to deploy AI workflows
- Ensure system scalability and reliability under heavy loads
- Write clean, testable, and well-documented code
- Participate in code reviews and architecture discussions
- Monitor application performance and troubleshoot issues
- Implement security best practices across all layers
- Work with containerization and orchestration tools
- Manage database design and query optimization
- Support continuous integration and deployment pipelines
- Translate business requirements into technical solutions
- Contribute to technical planning and roadmap sessions
- Maintain up-to-date knowledge of AI and software trends
Nice to Have
- Experience with TensorFlow or PyTorch
- Contributions to open-source AI projects
- Familiarity with natural language processing
- Background in real-time data processing
- Knowledge of edge computing for AI
- Experience with CI/CD tools like Jenkins or GitHub Actions
- Exposure to MLOps practices
- Understanding of prompt engineering and LLM integration
- Worked in startups or fast-paced tech environments
- Published research or technical papers in AI
Compensation
Competitive salary and equity package
Work Arrangement
Hybrid remote with office options
Team
Collaborative engineering team focused on AI-driven solutions
About the Role
This position bridges software engineering and artificial intelligence to deliver intelligent applications. You will work across the entire development lifecycle, from concept to deployment, with a focus on robust, user-centric systems.
What We Look For
We value problem-solving ability, technical depth, and a proactive mindset. Candidates should demonstrate a track record of delivering complex systems and a genuine interest in AI advancements.
Growth Opportunities
Engineers have the chance to shape product direction, lead technical initiatives, and grow into architecture or team leadership roles.
Tech Stack
Our stack includes React, Node.js, Python, TensorFlow, Docker, Kubernetes, PostgreSQL, and AWS. We adapt tools based on project needs.
Application Process
Submit your resume and a brief note highlighting relevant experience. Shortlisted candidates will complete a technical assessment followed by interview rounds.
Available for qualified candidates
