kAIgentic Principal Engineer Bengaluru Hiring 2026

kAIgentic Principal Engineer Bengaluru hiring is active on the company's official careers system. This is a senior individual-contributor role for engineers who can shape infrastructure used by agentic AI products. The work combines distributed systems, orchestration, platform reliability, and technical leadership. This guide uses the live employer listing and links directly to it.

The position is based in Bengaluru, India; hybrid or remote options are described. Full-time. Candidates should compare their recent work with the verified requirements before applying.

kAIgentic Principal Engineer Bengaluru: Quick Facts

Company	kAIgentic
Position	Principal Engineer – AI Infrastructure & Platform
Location	Bengaluru, India; hybrid or remote options are described
Employment	Full-time
Published or timing note	18 May 2026
Application deadline	14 June 2026 at 18:30 UTC, equal to 15 June 2026 at 00:00 IST

Salary and Employment Context

The official Ashby listing does not publish a salary range. Candidates should rely on the written offer for base pay, variable pay, equity, benefits, payroll entity, working hours, and notice terms.

The current role is described as full-time. The location information is Bengaluru, India; hybrid or remote options are described. Ask the recruiter to confirm office attendance, shift allowances, equipment, leave, and probation before accepting.

Who Can Apply?

The official listing is the eligibility source. The points below summarise the closest applicant profile without adding an unlisted degree, certification, or guarantee.

• Applicants need deep production experience in distributed systems and platform engineering.
• Expert-level Go or Python development is central to the role.
• Experience with Temporal, Cadence, or another workflow orchestration system is valuable.
• Candidates should understand gRPC, protobuf, service meshes, and production observability.

What Does a Principal Engineer – AI Infrastructure & Platform Do?

The work is practical and outcome-focused. A strong application should show where the candidate performed similar tasks, improved reliability, or solved a measurable problem.

• Design the infrastructure layer that executes and coordinates AI agents at production scale.
• Set architecture standards for workflow durability, failure recovery, and service communication.
• Build platform components in Go or Python and review critical engineering decisions.
• Improve reliability, deployment safety, and observability across distributed services.
• Guide engineers through complex trade-offs without moving away from hands-on delivery.

Skills to Highlight in the Resume

Use evidence instead of a long keyword list. Mention the system, your decision, the tool used, and the result. Keep confidential customer or employer information out.

• Go or Python with strong knowledge of concurrency, APIs, and production performance.
• Distributed-system design, including retries, idempotency, consistency, and fault isolation.
• Temporal, Cadence, or comparable durable workflow technology.
• gRPC, protobuf, containers, Kubernetes, and service-mesh concepts.
• Architecture communication that turns broad platform goals into implementable decisions.

Application Fit Checklist

Before applying, compare the role with your last two years of work. A smaller number of strong matches is more useful than a resume filled with unrelated tools.

• Place the most relevant role, project, or production result in the top third of the resume.
• Quantify scale, reliability, delivery speed, customer impact, or quality improvement where evidence exists.
• State your current location and genuine availability for the listed office, remote, shift, or time-zone pattern.
• Remove skills that you cannot explain through a project, incident, design choice, or working example.
• Check that dates, titles, links, and contact details are current before submitting.

How to Apply on the Official Site

Open the official kAIgentic job page, read the latest description, and check that the role still accepts applications. Tailor the resume to the verified work.

• Use an email address and mobile number that you check regularly.
• Upload a concise resume with relevant projects, impact, dates, and technologies.
• Answer screening questions accurately and do not inflate years of experience.
• Save the confirmation email or application reference for later follow-up.

Do not pay for an interview, referral, offer letter, or application link. Verify recruiter messages against the employer domain and the official job page.

Preparation Before the Interview

Start with the job description, then prepare short examples that match its main responsibilities. Use a clear situation, action, and result instead of memorised answers.

• Prepare an architecture discussion about a durable workflow system that survives partial failures.
• Review how retries, idempotency keys, queues, and tracing work together in distributed services.
• Choose one major platform decision from your career and explain its measurable operational result.

Check the role page again before the interview because status, location, and process can change. The employer decides shortlisting, assessment stages, compensation, and selection.

Frequently Asked Questions

Is this an entry-level job?

No. The scope and principal-engineer title require senior platform experience.

Which programming languages matter most?

The official listing emphasises expert Go or Python skills.

Is remote work available?

The listing describes Bengaluru with hybrid or remote options in India.

What is the application deadline?

The published deadline is 14 June 2026 at 18:30 UTC.

What is the official source?

The source is the official kAIgentic recruitment page at jobs.ashbyhq.com. Use that page for the current status.