Senior AI Automation Software engineer

Job Title:
Senior Ai Automation Software Engineer

Location:
Onsite San Jose

Job Type:
Full Time

Job Description:

Max 20 yrs experienced

Educational Qualification\*

Bachelor’s or Master’s degree in Computer Science, Engineering, or related technical discipline.

Experience Range

5–8 years of hands-on software engineering experience with production system development.

Primary (Must have skills)\* - To be Screened by TA Team

5+ years of coding experience in Java, Python, or Go.

5+ years of Experience in building and shipping production-grade automation services.

5+ years of Experience in API development experience (REST/gRPC, versioning, authentication/authorization, documentation).

5+ years of Experience with event‑driven architectures, retries/idempotency, rate limiting, and error handling.

Good understanding of system architecture, scalability, service boundaries, and data flows.

5+ years of Experience or strong practical interest in agentic workflows using tools/frameworks such as:

LangGraph

LangChain

Orchestration frameworks

RAG patterns

Evaluation/guardrails

Experience developing integrations (e.g., Slack → Jira, lifecycle sync, enrichment).

Job Description of Role\* (RNR) - To be Evaluated by Technical Panel (Define it to give more clarity)

Role Summary

We are hiring a Senior Software Engineer to build and own automation that scales our support experience—turning Slack/office-hours requests into high-quality, actionable tickets and faster resolutions. You will be a hands-on builder who ships production systems end-to-end and partners closely with stakeholders to drive adoption and measurable outcomes.

Key Responsibilities

Design, build, and maintain support automation systems that convert Slack/office-hours requests into structured, high-quality support tickets.

Build integrations and services such as Slack → Jira automation, routing, triage workflows, and lifecycle synchronization.

Implement agentic workflows for automated context collection, triage, summarization, and next-step recommendations.

Build robust APIs, event-driven pipelines, and automation frameworks with strong operational readiness.

Add and maintain observability (logs, metrics, dashboards, alerts) for automation health and reliability.

Deliver end‑to‑end production systems with high quality, maintainability, and operational resilience.

Collaborate with internal teams through documentation, demos, and status updates; iterate rapidly based on feedback.

Soft skills/other skills - To be Evaluated by Hiring Manager (To define how this will be evaluated)

Strong communication skills—ability to explain technical concepts clearly.

Proactive, ownership-driven mindset with high accountability.

Ability to collaborate across engineering, operations, and support teams.

Adaptability to fast-paced iterative environments.

Expected Outcome

The candidate is expected to deliver the following measurable outcomes:

Build reliable automation systems that reduce manual support effort and improve response time.

Increase ticket quality through structured triage and automated context enrichment.

Achieve high reliability of automation pipelines through observability and operational readiness.

Drive adoption of automation workflows across partner teams.

Continuously improve automation accuracy, throughput, and end‑user satisfaction.

Secondary Skills to be planned Post Hiring - Training Plan

Advanced LangGraph / LangChain patterns

RAG optimization, prompt evaluation frameworks, guardrails

Additional integrations (ServiceNow, Zendesk, etc.)

Cloud-native optimizations (metrics pipelines, distributed tracing, event orchestration)

Internal tooling, workflows, and automation ecosystem

Extended Jira workflow customization and integrations