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Build the next generation of software engineering with Bosenet
At Bosenet, we believe software development is changing rapidly.
Modern engineers are no longer expected to only write code. They need to understand the problem, design the solution, define clear specifications, work effectively with AI agents, validate generated outputs and take responsibility for production-quality software.
We are looking for experienced software engineers who combine:
Strong Engineering Fundamentals + Software Architecture + Cloud-Native Development + Agentic Engineering
If you already use AI coding tools and agents to accelerate development—or are actively evolving towards specification-driven, agent-assisted engineering—we would like to hear from you.
What you will work on
You will design and build modern enterprise applications and integrations while adopting emerging AI-native software engineering practices.
Your responsibilities will include:
- Designing, developing, testing and delivering production-grade applications and services.
- Building solutions primarily using Java, Spring Boot and modern cloud-native technologies.
- Designing APIs, microservices, integrations, event-driven workflows and scalable application components.
- Making sound architectural decisions around scalability, security, modularity, maintainability, performance and observability.
- Translating business requirements into clear technical specifications before implementation.
- Applying specification-driven development using approaches such as GitHub Spec Kit, BMAD or comparable methodologies.
- Using AI coding assistants and engineering agents for planning, implementation, testing, debugging, refactoring, documentation and code review.
- Working with tools and environments such as Claude Code, OpenAI Codex, Cursor, GitHub Copilot or comparable agentic development platforms.
- Reviewing AI-generated code critically and ensuring that architecture, security, maintainability and correctness remain under engineering control.
- Integrating applications with cloud platforms, SaaS applications, enterprise systems and third-party APIs.
- Participating in solution architecture and technical design discussions.
- Collaborating with colleagues and international customer stakeholders.
What we are looking for
Essential experience
- 4+ years of hands-on professional software development experience.
- Strong practical expertise in at least one modern enterprise development stack.
- Java and Spring Boot experience is strongly preferred.
- Experience building backend systems, APIs, microservices and/or distributed applications.
- Good understanding of cloud-native application development.
- Experience with source control, CI/CD, automated testing and modern software delivery practices.
- Good understanding of software architecture and the ability to explain technical decisions and trade-offs.
- Strong debugging, analytical and problem-solving skills.
- Strong spoken and written English communication skills, particularly for collaborating with international teams and clients.
- A strong sense of ownership and responsibility for software quality.
Agentic engineering mindset
We are especially interested in developers who understand that AI-assisted development is more than asking an AI tool to generate code.
You should be comfortable with—or genuinely interested in mastering—a development workflow where you:
Understand → Specify → Design → Delegate → Generate → Review → Test → Validate → Improve
This may include:
- Breaking requirements into structured specifications.
- Creating implementation plans before coding.
- Delegating suitable development tasks to AI agents.
- Using multiple agents or tools for implementation, testing and review.
- Maintaining context and architectural consistency across larger development tasks.
- Reviewing generated solutions rather than accepting them blindly.
- Using automated tests, static analysis and engineering judgment to validate AI-produced output.
- Continuously refining prompts, specifications and agent workflows to improve development velocity.
Experience with GitHub Spec Kit, BMAD or similar specification-driven and agentic methodologies is an advantage, but we do not require experience with any single framework.
Likewise, experience with Claude Code, Codex, Cursor, GitHub Copilot or similar environments is valuable, but we are more interested in how you use AI to engineer software than which particular tool you use.
Additional advantages
Experience in any of the following areas will strengthen your application:
- Production use of AI coding assistants or autonomous development agents.
- Delivery of AI, GenAI or agentic solutions for real business use cases.
- Designing agent workflows or multi-agent software solutions.
- AWS, Microsoft Azure or Google Cloud Platform.
- Docker and Kubernetes.
- Event-driven architecture and messaging technologies.
- Integration with multiple SaaS, cloud or enterprise platforms.
- Infrastructure-as-Code and DevOps automation.
- API design and enterprise integration patterns.
- Application, solution or integration architecture.
- Security and observability in distributed systems.
- Experience working directly with international customers.
- Knowledge of the German language.
Candidates currently residing in Kolkata or the surrounding region are preferred.
What makes this role different
At Bosenet, we do not see AI as a replacement for engineering capability.
We see it as a multiplier.
An effective engineer should increasingly be able to turn a well-defined problem into specifications, architecture and implementation plans—and then intelligently use AI agents to accelerate execution.
That means writing less repetitive code while spending more time on:
- Architecture
- Problem decomposition
- Specifications
- Integration design
- Quality
- Security
- Validation
- Performance
- Customer outcomes
We therefore value engineers who are curious about how software engineering itself is evolving, not just developers who add AI tools to an otherwise unchanged development process.
Why Bosenet?
You will have the opportunity to work in an environment that actively encourages modern engineering practices including:
Agentic Engineering
Use AI assistants and development agents as part of the engineering workflow.
Specification-Driven Development
Move from loosely defined coding tasks towards structured requirements, specifications and implementation plans.
Modern Architecture
Work with cloud-native systems, microservices, integrations, APIs and distributed applications.
International Exposure
Collaborate with customers and colleagues in Germany and other international markets.
Architecture Growth
Develop beyond implementation towards application architecture, integration architecture and solution design.
Emerging AI Solutions
Participate in projects where AI, GenAI and intelligent agents become part of the solutions we deliver.
Eligible employees may also receive opportunities for client-site assignments in Germany, depending on project requirements, performance and applicable travel and visa conditions.
Compensation
The expected compensation range for this position is:
₹8–25 Lakhs CTC per annum
The range reflects the breadth of profiles we are willing to consider.
Compensation will depend on factors including:
- Relevant professional experience
- Java / Spring Boot expertise
- Software architecture capability
- Cloud-native engineering experience
- Integration experience
- AI-native and agentic development maturity
- Ability to independently own complex technical problems
- Communication and client-facing capability
- Overall fit for the responsibility level
Candidates demonstrating exceptional strength in architecture, cloud engineering, enterprise integration or AI-native software development may be positioned towards the higher end of the range.
How to apply
Please send us your resume.
Along with your application, we encourage you to briefly describe one real software development task or project where you used AI-assisted or agentic development.
Tell us:
- What were you building?
- Which AI or agentic tools did you use?
- How did you structure the requirements or specifications?
- What did you delegate to the AI or agents?
- How did you review and validate the generated work?
- What improvement did the approach make to development speed or quality?
We are less interested in whether you have simply used an AI coding tool and more interested in whether you have learned to engineer effectively with AI.
Software engineering is moving from writing every line of code towards designing systems, defining specifications and orchestrating intelligent tools.
If that is the kind of engineer you are becoming, Bosenet would like to meet you.
Click on Apply to know more.
