Software Development Engineer 2

Coxvi Technologies; Bengaluru; On-site; INR 2,500,000 - 6,000,000; Full time

Job summary

Coxvi Technologies is seeking an SDE2 AI-Native Developer in Bengaluru to leverage AI for automating and optimizing the SDLC. The role requires hands-on experience building AI-driven workflows, integrating AI agents into engineering systems, and deploying AI-powered solutions in production.

The candidate will design AI-driven workflows, build scalable backend services, and collaborate with teams to improve software quality, productivity, and delivery speed using AI-enhanced development tools.

Qualifications

• 2+ years of experience in software development or backend engineering.
• Strong understanding of APIs, backend development and system design.
• Hands-on experience with AI-assisted software engineering and AI-enabled workflows.
• Experience integrating AI capabilities into software applications or pipelines.
• Experience automating one or more SDLC stages (coding, testing, deployment).

Responsibilities

• Design and implement AI-driven workflows to automate coding, testing, debugging, code reviews, and deployment.
• Build AI-powered development workflows to improve productivity and delivery speed.
• Develop, deploy, and maintain AI-enabled applications and services in production.
• Integrate AI models, agents, tools, and APIs into existing systems and pipelines.
• Build scalable backend services and APIs using Golang and Spring Boot.
• Work with cloud infrastructure and distributed systems for high availability and performance.

Skills

Backend engineering

APIs

System design

AI-assisted software engineering

CI/CD

Tools

Golang

Spring Boot

Redis

AWS

Apache Kafka

Job description

SDE2 AI-Native Developer

Experience: 2+ Years
Compensation: 25LPA-60 LPA
Employment Type: Full-Time

About the Role

We are looking for an SDE2 - AI-Native Developer who can leverage AI to automate and optimize the Software Development Life Cycle (SDLC).

The ideal candidate will have hands‑on experience building AI‑driven workflows, automating software development processes, integrating AI agents into engineering systems, and deploying AI‑powered solutions in production environments.

This role requires strong software engineering fundamentals combined with practical experience using AI to improve engineering productivity, software quality, and delivery speed.

Key Responsibilities

• Design and implement AI‑driven workflows to automate coding, testing, debugging, code reviews, and deployment.
• Build and optimize AI‑powered development workflows to improve engineering productivity and software delivery.
• Develop, deploy, and maintain AI‑enabled applications and services in production environments.
• Integrate AI models, agents, tools, and APIs into existing software systems and engineering pipelines.
• Build scalable backend services and APIs using technologies such as Golang and Spring Boot.
• Work with cloud infrastructure and distributed systems to ensure high availability, performance, scalability, and reliability.
• Use caching and messaging technologies to support efficient application architectures.
• Monitor production deployments, troubleshoot issues, and continuously improve system performance.
• Identify opportunities to automate repetitive engineering tasks and improve SDLC efficiency.
• Collaborate with engineering teams to deliver reliable, maintainable, and scalable software solutions.

Required Skills and Qualifications

• 2+ years of experience in software development, backend engineering, or a related technical role.
• Strong understanding of software engineering principles, APIs, backend development, and system design.
• Hands‑on experience with AI‑assisted software engineering, AI agents, or automated development workflows.
• Experience integrating AI capabilities into software applications or engineering pipelines.
• Practical understanding of automating one or more SDLC stages, such as coding, testing, debugging, code review, or deployment.
• Experience building reliable and maintainable software systems.
• Ability to evaluate AI‑generated output, handle failures, and maintain software quality.

Preferred Technical Skills

• Cloud: AWS
• Programming: Golang
• Backend Frameworks: Spring Boot
• Caching and Data Stores: Redis
• Messaging and Streaming: Apache Kafka
• AI Tools: Claude and related AI-powered development tools
• AI Workflows: AI agents, workflow automation, AI-assisted coding, testing, debugging, and deployment
• Engineering Practices: REST APIs, CI/CD, distributed systems, monitoring, and production troubleshooting

Ideal Candidate Profile

The ideal candidate goes beyond using AI for code generation and understands how to integrate AI into the software development lifecycle.

Candidates should be able to explain a real implementation of an AI-powered development workflow, their individual contribution, the architecture and tools used, the challenges encountered, and the measurable improvements achieved.

Experience deploying AI-powered systems into production and ensuring reliability, security, and maintainability is highly valued.

Compensation

25-60 LPA, depending on experience and technical expertise.