Ovii Job Board

Software Development Engineer III

kAIgentic

Bengaluru, India • Hybrid - Bengaluru, India • Full-Time

Posted 2026-05-18 Tech & Engg

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Job Description

Ovii's Interpretation of the Role

Senior software engineer focused on building AI‑native workflow orchestration platforms. Owns durable, stateful backend components, observability pipelines, and mentors junior engineers.

Role Snapshot

  • Build AI workflow orchestration platform
  • Design durable stateful systems with Temporal
  • Develop observability pipelines (Langfuse, Arize)
  • Implement human‑in‑the‑loop interrupt‑and‑resume patterns
  • Mentor junior engineers
  • Own reliability of critical workflow components
  • Collaborate across global AI infrastructure team

Must-Have Requirements

  • Go
  • Python
  • AI‑native development (LLM orchestration & self‑correction)
  • production backend systems
  • AI‑native development

Nice-to-Have Signals

  • Temporal
  • LangGraph
  • Distributed systems
  • Observability (Langfuse, Arize)
  • gRPC
  • Service mesh
  • State management
  • distributed systems at scale
  • observability and tracing

Work Setup

  • Location: Bengaluru, India
  • Work mode: HYBRID
  • Remote scope: UNSPECIFIED
  • Employment type: Full-Time

Not Specified in JD

  • Salary range
  • Visa sponsorship
  • Relocation
  • Travel
  • Security clearance
  • Coding test
  • Portfolio
  • GitHub
  • Writing sample
  • Cover letter

What You'll Likely Work On

  • Design and implement durable workflow systems using Temporal
  • Build the LangGraph‑based orchestration layer for AI agents
  • Create self‑correction loops that validate LLM outputs and trigger re‑prompting
  • Develop end‑to‑end observability pipelines with Langfuse and Arize Phoenix
  • Implement interrupt‑and‑resume patterns for human‑in‑the‑loop workflows and ensure reliability
  • Mentor junior engineers through code reviews and design discussions
  • Drive AI‑native development best practices across the team

Good Fit If You Have

  • Experience building production backend or infrastructure systems
  • Strong AI‑native development capability
  • Comfort with enterprise‑grade reliability and regulated environments
  • Customer‑centric mindset and entrepreneurial drive

Skills

  • Go
  • Python
  • Temporal (durable execution engine)
  • LangGraph for agent coordination
  • LLM orchestration & self‑correction loops
  • Distributed systems at scale
  • Observability (Langfuse, Arize Phoenix)
  • gRPC & service mesh
  • State management in distributed environments