Software Engineer

Position: Software Engineer

Location: India (Remote)

Employment Type: Full Time

Schedule: Monday to Friday, Day Shift

Company Description

Scry AI is a research-led enterprise AI company that builds intelligent platforms for BFSI, insurance, logistics, and industrial enterprises to drive efficiency, insight, and compliance. Our product suite includes Auriga for conversational AI, Collatio for document intelligence, and Concentio for cognitive IoT and operational intelligence. These platforms help clients convert complex, fragmented data into actionable enterprise intelligence.

We are looking for a Software Engineer to help design, build, and scale the core platforms and microservices that power Scry AI’s products.

Role Overview

As a Software Engineer at Scry AI, you will work on backend services, APIs, data pipelines, and integrations that support products like Auriga, Collatio, and Concentio. You will collaborate with product managers, data scientists, and DevOps engineers to build reliable, secure, and performant systems. This role demands strong engineering fundamentals, clean coding practices, and a willingness to work across the stack where needed.

Key Responsibilities

Product and Platform Development

• Design, develop, and maintain backend services and RESTful / gRPC APIs that power Scry AI products
• Implement features and enhancements for use cases in BFSI, insurance, logistics, and industrial operations
• Work on data ingestion, transformation, and integration with internal and external systems
• Contribute to microservices architecture, modular design, and reusable components

Code Quality and Best Practices

• Write clean, maintainable, and well-documented code following best practices and coding standards
• Participate in code reviews to ensure quality, performance, and security
• Implement unit tests, integration tests, and support automated testing frameworks
• Help improve internal engineering practices, guidelines, and technical documentation

Collaboration and Delivery

• Work closely with product managers to understand requirements, clarify edge cases, and estimate effort
• Collaborate with data science teams to integrate AI/ML models into production workflows
• Coordinate with DevOps/infra teams on deployment, monitoring, and performance optimization
• Participate in sprint planning, stand-ups, and retrospectives as part of an agile team

Performance, Security, and Reliability

• Monitor and optimize application performance, memory usage, and throughput
• Implement secure coding practices, input validation, and data protection measures
• Help design for scalability and high availability in cloud / containerized environments
• Support troubleshooting and root cause analysis for production issues and incidents

Required Qualifications and Skills

• 2–5 years of experience as a Software Engineer / Backend Engineer / Full Stack Engineer
• Strong programming skills in one or more of: Python, Java, C#, or similar backend languages
• Experience building RESTful APIs, microservices, or distributed systems
• Solid understanding of data structures, algorithms, and relational / NoSQL databases
• Familiarity with Git, CI/CD pipelines, and working in Linux-based environments
• Experience with cloud platforms (AWS / Azure / GCP) or containerization (Docker, Kubernetes) is a plus
• Good communication skills and the ability to work effectively with cross-functional teams

Our Ideal Candidate

• Cares deeply about clean architecture, code quality, and long-term maintainability
• Is comfortable working in a fast-paced environment where requirements can evolve
• Enjoys solving real-world problems at the intersection of AI, data, and enterprise workflows
• Is proactive about identifying technical debt, performance bottlenecks, and improvements
• Is excited to build and scale AI-first products like Auriga, Collatio, and Concentio for global enterprises

If this role interests you, follow our page to stay updated on more job opportunities and to see how Scry AI partners with leading enterprises to deploy secure, scalable AI solutions.