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 solid 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.
Solid 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 rapid-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