Role & responsibilities Tech Stack
- Languages & Frameworks: Python, Django, Golang, Node.js, Kotlin/Java, React JS
- AI / Agentic: LLM APIs and agent frameworks, tool/function calling, MCP or similar integration patterns, evaluation and observability tooling for LLM systems
- Architecture: RESTful APIs, Microservices / Service-Oriented Architecture
- Databases: PostgreSQL / AWS RDS, MongoDB
- Caching: Redis or equivalent
- Infrastructure: Docker, AWS / GCP
- Data Processing: Large-scale batch and real-time planning pipelines (300GB+) Qualifications
- 6 to 9 years of software engineering experience with robust backend or full-stack depth.
- 2+ years leading engineers as an engineering manager or tech lead, with direct reports.
- Hands-on experience designing and shipping AI/LLM-powered systems in production, ideally agentic workflows with tool use, orchestration, evaluation, and guardrails.
- Strong system design instincts and the ability to weigh architecture trade-offs and guide a team toward sound decisions.




- Demonstrated experience optimizing systems at scale: query tuning, schema design, caching, and pipeline performance on large datasets.
- Track record of delivering complex, high-impact products in fast-paced environments.
- Experience across the full engineering lifecycle: hiring, goal-setting, delivery, and growth.
- Clear, direct communicator, effective with engineers, product, and business stakeholders. Nice to Have
- Experience in supply chain, inventory planning, replenishment, logistics, marketplace, or quick commerce.
- Exposure to forecasting, demand planning, or optimization algorithms, and comfort integrating model outputs into production systems.
- Experience building human-in-the-loop or decision-automation products for operations users.
- Experience with multi-region or global operational systems and distributed teams Preferred candidate profile

📌 Engineering Manager, Inventory Planning Platform (New Delhi)
🏢 Seikor Group
📍 New Delhi