Custom Software Engineer

Overview

Custom Software Engineer role designing, coding and enhancing software components, leading a team and building the Agent Orchestration Service and incident triage agent for Akura.

What you'll do

• Act as SME, collaborate with and manage the team, and be responsible for team decisions.
• Engage with multiple teams and contribute to key decisions; provide solutions to problems for the immediate team and across teams.
• Lead implementation of best practices to improve software development processes and team productivity.
• Mentor junior team members to support their professional growth and skill development.
• Coordinate cross-functional efforts to ensure alignment of project objectives and timely delivery.
• Design and build the Agent Orchestration Service for Akura.
• Integrate AI/rule-based agents with Kafka-based event flows, consuming and publishing structured events.
• Invoke the appropriate AI agent, rule engine or decision workflow based on event type.
• Build or integrate the ServiceNow incident triage agent, evaluating Guidewire claim/system events and recommending incident creation, update, ignore or human review.
• Build context enrichment logic and implement Retrieval-Augmented Generation patterns where needed.
• Define and implement structured, machine-readable, auditable agent decision payloads.
• Implement guardrails, business rules, approval routing and governed tool execution.
• Store agent inputs, outputs and outcomes in audit tables; support APEX UI display and replay of historical decisions.
• Instrument agent services with logs, metrics, traces, health checks and correlation IDs.
• Support production readiness reviews, runbooks and handover documentation.

What you'll need

• 15 years full-time education.
• Minimum 7.5 years of experience in AI Agents & Workflow Integration (must-have skill).
• Proficiency in AI Agents & Workflow Integration.
• Strong knowledge of software development lifecycle and agile methodologies.
• Ability to design and integrate complex workflows within software systems.
• Experience troubleshooting and optimizing AI-driven software components.
• Hands-on experience in Python, Java, Spring Boot, FastAPI, or equivalent backend technology.
• Experience integrating AI/LLM services, AI agents or rule-based decision engines.
• Experience with REST API integration and microservice-based architecture.
• Understanding of Kafka-based event-driven architecture; ability to consume and publish structured events through Kafka.
• Experience with prompt design, context preparation, structured outputs and safe AI execution patterns.
• Understanding of RAG/context enrichment patterns.
• Experience working with JSON-based event contracts and API payloads.
• Good understanding of authentication, authorization, secrets and secure API calls.
• Strong debugging and production support mindset.
• Ability to work with Solution Architects and backend teams to translate agent workflows into deployable services.

Nice to have

• Experience with Virtual Agents or Generative AI.
• Experience with Amazon MSK / Apache Kafka.
• Experience with Kafka Streams or event processing.
• Experience with ServiceNow incident management APIs.
• Guidewire Cloud or insurance operations exposure.
• Experience with runbook automation, incident triage, root cause analysis or operational automation.
• Experience with LangGraph, Semantic Kernel, AutoGen, Amazon Bedrock Agents, Azure AI Agent Service, OpenAI tool/function calling, or equivalent agent frameworks.
• Experience with vector databases or PostgreSQL/pgvector.
• Experience with OpenTelemetry, CloudWatch, Grafana or similar observability tooling.
• Experience with GitHub Actions, Docker, EKS/ECS, Terraform or Helm.

Details

• Based at the Bengaluru office.
• 15 years full-time education required.