An Engineering companyPosted July 21, 2026
Backend Engineer
BangaloreFull-time3-6 yrs₹15–40 LPA
About the Role
Join An Engineering company as a Backend Engineer and be part of a dynamic team focused on transforming financial workflows through innovative AI solutions. You'll work alongside talented professionals in a collaborative environment that fosters creativity and technical excellence. This is an exciting opportunity to contribute to cutting-edge projects that have a significant impact on the financial sector while enhancing your own skills and career growth.
Responsibilities
- Design and implement highly efficient agentic systems utilizing advanced LLM technology.
- Develop robust multi-LLM orchestration systems to seamlessly integrate various functionalities.
- Ensure compliance and correctness in financial computations through meticulous testing and validation.
- Implement and manage rigorous security protocols to safeguard sensitive financial data.
- Collaborate with cross-functional teams to develop complex integrations for banking and payment solutions.
- Maintain and enhance existing backend services while ensuring scalability and reliability.
- Participate in code reviews to promote best practices in software development throughout the team.
Requirements
- Possess a strong foundational knowledge in Computer Science with proven software development skills.
- Demonstrate proficiency with modern frameworks such as Next.js, FastAPI, Supabase, and Docker.
- Have an understanding of financial operations and systems integration, particularly in accounting and payment gateways.
- Exhibit the ability to architect, implement, and sustain end-to-end agentic systems effectively.
- Hold a Bachelor’s or Master’s degree in Computer Science or a related discipline.
- Showcase strong problem-solving capabilities and meticulous attention to detail in financial workflows.
Nice to Have
- +Experience with cloud platforms and services, enhancing system deployment and scalability.
- +Familiarity with Agile methodologies for efficient project management and delivery.
- +Knowledge of AI and machine learning principles as they apply to financial technologies.