We are hiring an Agentic AI Engineer to design and build intelligent AI systems that autonomously reason, decide, and execute actions across enterprise insurance workflows.

Role: Agentic AI Engineer

Location: Hyderabad Gachibowli, Full-Time

Experience:

4–8 years of software engineering or AI engineering experience
Experience working with production systems, not just prototypes

Role Focus: • Design and build AI agent frameworks for real-time decisioning and workflow automation • Develop multi-step reasoning systems using LLMs, tools, memory, and policy-driven logic • Build orchestration layers that determine when to automate vs route to human agents • Implement intent detection and action prediction pipelines using behavioral and interaction data • Integrate AI systems into enterprise platforms including Guidewire, Duck Creek, or Majesco • Build APIs and middleware services connecting AI engines to core insurance systems • Work with structured and unstructured insurance data (policy, claims, customer interaction data) • Collaborate with Guidewire developers and enterprise integration teams

Additional responsibilities:

Work closely with product, engineering, and insurance domain teams to translate workflows into AI systems
Participate in architecture design for scalable AI-driven insurance platforms
Maintain technical documentation for agent workflows, APIs, and system behavior
Ensure production-grade stability, monitoring, and observability of AI systems

Nice to have:

Experience building agentic AI systems or multi-agent workflows
Exposure to insurance platforms: Guidewire, Duck Creek, Majesco
Experience with workflow engines or decision systems
Experience with real-time data pipelines or streaming architectures
Kubernetes / Docker / cloud-native deployment experience
Understanding of customer lifecycle or CRM systems

More skills:

AI development using modern ML/LLM libraries, LLM integration frameworks, system integration, classification, ranking systems

Other:

INR (Annual)
Strong bias toward shipping production systems, not research experiments
Comfortable working in ambiguous, high-ownership environments
Ability to translate business workflows into deterministic + probabilistic AI systems
Strong debugging mindset for complex AI + system interactions
AI agents deployed into real carrier workflows
Measurable impact on conversion, engagement, or operational efficiency
Stable integration with enterprise insurance systems (including Guidewire ecosystems)
Reduction in manual intervention through autonomous decisioning systems
Reliable, observable, production-grade AI infrastructure

Agentic AI Engineer

Skills Required

Description

Experience:

Additional responsibilities:

Nice to have:

More skills:

Other:

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