Fullstack with Agentic developer experience

What are we looking for?

Full Stack Software Engineer (Backend-focused)

We are looking for a software engineer capable of taking ambiguous or high-level business ideas and turning them into fully functional production systems. This role requires strong engineering judgment, ownership, and the ability to design, build, release, and support solutions end-to-end, with a primary focus on backend development and consistent involvement in frontend and AI integration.

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Your main responsibilities:

• Analyze ambiguous or high-level requirements, identify the underlying problem, and translate it into clear technical proposals.
• Identify risks early, evaluate trade-offs, and make well-reasoned technical decisions.
• Design, develop, deploy, and maintain solutions in production environments.
• Take full ownership of deliverables, including handling bugs, incidents, and scalability challenges.
• Work across backend (60–70%) and frontend (30–40%) development tasks.
• Integrate AI models into production systems, including orchestration, workload management, and high-throughput processing.
• Collaborate directly with technical and business stakeholders to define and deliver solutions without relying on fully specified tasks.

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Experience:

• More than 5 years of professional experience in software development.
• Proven track record of delivering and supporting applications across multiple production environments.

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Required Technical Skills:

• Strong proficiency in Python.
• Experience working with Artificial Intelligence (AI) in real-world applications.
• System design and architecture decision-making.
• Scalability, maintainability, and testing practices.
• Release strategies, debugging, and production support.
• Backend and frontend development experience.
• Experience integrating AI into production systems.

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Soft Skills:

• Strong analytical thinking and problem-solving skills.
• Ability to work autonomously with minimal supervision.
• Ownership mindset with end-to-end accountability.
• Clear decision-making and ability to justify technical choices.
• Product-oriented mindset beyond feature implementation.
• Critical thinking, especially when using AI-generated outputs.