Salary
≈ $26k – $69k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Senior · 4+ years exp
Overview
Company
Impact
Profile match
kAIgentic is an enterprise AI platform that helps organizations capture internal knowledge and turn it into AI agents to modernize processes, automate workflows, and deploy AI safely with governance and compliance.
As a Senior Software Engineer on the AI Infrastructure team, you will own significant components of kAIgentic's agentic orchestration platform. You'll design and build systems that handle stateful, long-running AI workflows with enterprise-grade reliability and observability.
Responsibilities:
- Design and implement durable workflow systems using Temporal for multi-step agentic processes.
- Build the orchestration layer for LangGraph-based agent coordination.
- Develop self-correction loops that validate LLM outputs and trigger re-prompting on schema failures.
- Create comprehensive observability pipelines using Langfuse and Arize Phoenix.
- Implement interrupt-and-resume patterns for human-in-the-loop workflows; own reliability and failure handling for critical workflow components.
- Mentor junior engineers through code reviews and design discussions; drive AI-native development practices across the team.
Requirements:
- 4+ years of experience building production backend or infrastructure systems; expert AI-native development capability (mandatory).
Strong proficiency in Go and Python; deep expertise in 2-3 of the following:
- Durable execution engines (Temporal, Cadence, or similar); agentic AI systems and LLM orchestration.
- Distributed systems at scale; observability and tracing systems.
- gRPC and service mesh architectures; experience with state management in distributed environments.
- Track record of owning and delivering complex technical projects.
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