Key Responsibilities
Own the design and development of critical backend systems and platform capabilities.
Design scalable APIs, integrations, data models, and asynchronous workflows.
Architect and build automation across distribution and supply-chain workflows.
Integrate and orchestrate ERP, OMS, WMS, external APIs, and partner portals.
Transform complex, manual operational processes into reliable, scalable, and observable software systems.
Lead system design and make pragmatic architecture decisions.
Apply LLMs, computer-use technologies, and traditional automation where they provide meaningful business leverage.
Identify situations where deterministic software is more reliable than AI-based approaches.
Work directly with production systems, including deployment, monitoring, debugging, and operational improvements.
Collaborate with product, operations, and non-technical stakeholders to understand real-world business problems.
Influence product direction, engineering practices, architecture, and technical standards.




Take ownership of ambiguous problems and drive them from concept through production.

Required Skills & Experience
8–10 years of qualified software engineering experience.
Robust backend engineering expertise.
Solid experience designing and building APIs and integrations.
Solid understanding of asynchronous and distributed workflows.
Excellent SQL and data-modelling skills.
Robust system-design and architecture capabilities.
Experience building, deploying, debugging, and operating production systems.
Ability to work independently in lean, cross-functional teams.
Strong ownership and problem-solving mindset.
Comfortable working across architecture, implementation, production debugging, and business requirements.

AI / Automation Experience
Practical understanding of applying LLMs and AI to real-world business workflows.
Experience integrating AI/LLM models into software applications is highly valuable.

📌 Senior Software Engineer Ai Gurugram
🏢 KinnectoHR
📍 Gurugram