Principal Software Engineer

Posted 16 Days Ago
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Pune, Mahārāshtra, IND
In-Office
Senior level
Software
The Role
Lead a five-person engineering squad building QAD’s AI agent runtime, including orchestration, reasoning, session and memory management, LLM gateway capabilities, sandboxing, audit trails, timeout handling, and retries. Provide technical and people leadership while ensuring production reliability, responsible AI guardrails, prompt versioning, evaluation pipelines, and agent behavior testing. Personally use AI-native development tools and mentor engineers across the cloud-native platform.
Summary Generated by Built In
Company Description

Help us build the "System of Action" that supercharges global manufacturing teams.  QAD is entering a high-velocity era to architect the world’s first AI-native, agentic ERP. We are moving beyond legacy "systems of record" to build an autonomous platform where humans and AI work as a tag team to redefine how factories operate.  Join us at this pivotal moment to build our next generation platform, lead the next generation of the Adaptive Enterprise and turn global speed into strategy.  

Job Description

Ignite Your Future: 

As an Engineering Manager at QAD, you will lead an agile engineering team responsible for designing, building, and delivering high‑quality software. You will combine hands‑on technical understanding with people leadership, helping engineers do their best work while delivering meaningful business outcomes.

Active use of AI-native development workflows — Cursor, Claude Code, and CodeRabbit or equivalent — is a baseline requirement, not a nice-to-have. We treat AI augmentation as the standard engineering operating model. Leaders are expected to use these tools personally, set norms for their teams, and demonstrate that AI tooling raises the output of their entire squad. Candidates who view AI tools as optional or experimental are not the right fit for this organization.

The Mission: What You'll Be Building

You will guide a team building features and services across QAD’s adaptive, cloud‑native platform, contributing directly to customer‑facing capabilities and platform foundations.

Lead for the engine room of ERA — the runtime infrastructure that autonomous agents execute on.

Your Impact/ What you will be doing: 

  • Deliver the Orchestrator, Reasoning Engine, Agent Runtime, and Session/Memory Management systems

  • Own the LLM Gateway: model routing, cost governance, latency SLOs, prompt versioning, and model fallback

  • Ensure production reliability: agent sandboxing, execution audit trails, timeout handling, and retry logic

  • Manage a squad of 5 engineers, including 1 Principal Engineer

Qualifications

What we are looking for 

  • 6+ years in backend or AI/ML engineering with at least 2 years managing a squad

  • Experience operating production LLM systems — real SLOs, real failure modes, real post-mortems

  • Deep understanding of agentic frameworks: orchestration patterns, tool use, and multi-step reasoning

  • MCP (Model Context Protocol) implementation experience

  • Prompt versioning, eval pipeline design, and agent behavior testing

  • Responsible AI guardrails and agent safety architecture

The Mindset:

  • People-Centered Leader: Cares deeply about team health, growth, and inclusion.

  • Execution-Oriented: Focuses on delivering value consistently and reliably.

  • Technically Curious: Continuously builds technical depth to better support the team.

  • Accountable Owner: Takes responsibility for commitments and outcomes.

  • Collaborative: Works openly with Product, QA, and peer teams.

     

Additional Information

Why QAD?

You will directly lead, grow, and mentor a high-impact agile team, playing a key role in delivering features on our adaptive, cloud-native platform. This is an opportunity to combine hands-on technical guidance with people leadership, driving real-world product outcomes using modern cloud technologies and contributing to the future of intelligent manufacturing.

Company Description:

QAD is redefining manufacturing and supply chains through its intelligent, adaptive platform that connects people, processes, and data into a single System of Action. With three core pillars — Redzone (frontline empowerment), Adaptive Applications (the intelligent backbone), and Champion AI (Agentic AI for manufacturing) — QAD | Redzone helps manufacturers operate with Champion Pace, achieving measurable productivity, resilience, and growth in just 90 days.

QAD is committed to ensuring that every employee feels they work in an environment that values their contributions, respects their unique perspectives and provides opportunities for growth regardless of background. QAD’s DEI program is driving higher levels of diversity, equity and inclusion so that employees can bring their whole self to work.

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class. 

About QAD:

QAD | Redzone is redefining manufacturing and supply chains through its intelligent, adaptive platform that connects people, processes, and data into a single System of Action. With three core pillars — Redzone (frontline empowerment), Adaptive Applications (the intelligent backbone), and Champion AI (Agentic AI for manufacturing) — QAD | Redzone helps manufacturers operate with Champion Pace, achieving measurable productivity, resilience, and growth in just 90 days.

QAD is committed to ensuring that every employee feels they work in an environment that values their contributions, respects their unique perspectives and provides opportunities for growth regardless of background. QAD’s DEI program is driving higher levels of diversity, equity and inclusion so that employees can bring their whole self to work.

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class. 

Skills Required

  • 6+ years of experience in backend or AI/ML engineering
  • At least 2 years of experience managing an engineering squad
  • Experience operating production LLM systems, including SLOs, failure modes, and post-mortems
  • Deep understanding of agentic frameworks, orchestration patterns, tool use, and multi-step reasoning
  • Experience implementing Model Context Protocol (MCP)
  • Experience with prompt versioning, evaluation pipeline design, and agent behavior testing
  • Experience designing responsible AI guardrails and agent safety architecture
  • Active use of AI-native development tools such as Cursor, Claude Code, and CodeRabbit or equivalent

QAD Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about QAD and has not been reviewed or approved by QAD.

  • Leave & Time Off Breadth — Time off includes vacation, sick time, and paid parental leave, and is described positively across materials. Some U.S. roles reference “unlimited” PTO, indicating breadth beyond standard allocations.
  • Wellbeing & Lifestyle Benefits — A virtual-first model with a home-office setup allowance and a monthly work-from-home stipend supports flexible, remote work. These lifestyle perks strengthen work–life balance and overall benefits appeal.
  • Retirement Support — A 401(k) with company match is part of the core package and is regarded favorably. Retirement benefits are positioned as competitive within the offering.

QAD Insights

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The Company
HQ: Miami, FL
1,678 Employees
Year Founded: 1979

What We Do

QAD Inc. is a leading provider of next-generation manufacturing and supply chain solutions in the cloud. To succeed in a turbulent world, facing disruptions in supply and fluctuations in demand, manufacturers and supply chains must rapidly respond to change and seamlessly optimize agility, efficiency, and resilience for effective customer service. QAD delivers Adaptive Applications to enable these Adaptive Enterprises. Founded in Santa Barbara, California, QAD has customers in 84 countries around the world. Thousands of companies have deployed QAD enterprise solutions including enterprise resource planning (ERP), digital commerce (DC), supplier relationship management (SRM), digital supply chain planning (DSCP), global trade and transportation execution (GTTE), enterprise quality management system (EQMS), connected workforce and process intelligence. To learn more, visit www.qad.com, call +1 (805) 566-6100 or email [email protected]. Follow us on Twitter: https://twitter.com/QAD_Community Like our page on Facebook: https://www.facebook.com/QADerp Follow us on Instagram: https://www.instagram.com/qad_community

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