Senior Developer, Agentic AI @ Jaggaer, Hyderabad

JAGGAER; Hyderabad; Hybrid; INR 4,000,000 - 7,000,000; Full time

Job summary

JAGGAER Hyderabad is seeking a senior software engineer to lead architecture and delivery for enterprise platforms. You will influence technical direction, own key components, and mentor engineers in a hybrid work setup.

Requires 7+ years of experience, strong Python, TypeScript and React, API design, distributed systems, and cloud practices. You will work on multi-tenant architectures, AI/LLM integrations, and data governance.

Qualifications

• 7+ years of software engineering experience at leadership level (Principal/Staff+).
• Strong hands-on programming and production debugging ability.
• Deep experience designing and operating distributed, multi-tenant enterprise platforms.
• Proficient in Python, TypeScript and React; API and event-driven architectures.

Skills

7+ yrs software eng

Principal/Staff+ scope

Distributed multi-tenant platforms

Python

TypeScript

React

API/Event-driven

PostgreSQL/Redis

Kubernetes

Public cloud

LLM/AI systems

Security/governance

Communication/influence

Job description

Experience: 7+ Years

Notice Period: Immediate to 30 Days

Work Mode: Hybrid(3 Days Office & 2 Days WFH)

Location: Hyderabad

Skills Required:

• 7+ years of software engineering experience, with experience operating at Principal Engineer, Architect, Staff+ Engineer, or equivalent scope.
• Strong hands-on programming and production-debugging ability.
• Deep experience designing and operating distributed, multi-tenant enterprise platforms.
• Strong expertise in several of the following:Python, TypeScript and React, API and event-driven architectures, PostgreSQL and Redis, Workflow or queue-based systems, Containers and Kubernetes, Public cloud platforms
• Production experience with LLM applications, AI agents, or enterprise AI platforms.
• Understanding of tool calling, structured model output, retrieval-augmented generation, model evaluation, and human-in-the-loop workflows.
• Strong knowledge of authentication, authorization, tenant isolation, API versioning, observability, reliability, and data governance.
• Ability to distinguish model-driven decisions from deterministic security, policy, and transactional controls.
• Excellent communication skills and a proven ability to influence technical direction across teams.

Preferred Qualifications

• Experience designing multi-agent, Supervisor Agent, or research-oriented AI systems.
• Experience with graph-based orchestration frameworks and cloud-hosted generative AI services.
• Experience with multiple commercial LLM providers.
• Experience building shared platforms used by several product teams.
• Experience with micro-frontends and AI functionality embedded across a product portfolio.
• Familiarity with AI governance, model risk management, audit, safety controls, and regulatory requirements.
• Experience with distributed tracing and AI observability platforms.
• Experience defining internal developer platforms, reference architectures, and migration programs.