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Elite Software Engineering Pipeline (All Levels)

QAD -
Pune, Maharashtra

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Job details

Full-time

Qualifications

Ontology
Spring Boot
Cloud infrastructure
Cloud architecture
Node.js
Law
MCP
React
Kubernetes
Full-stack development
Java
Master's degree
AWS
Docker
JavaScript
PostgreSQL
Distributed systems
Neo4j
REST
Angular
RDF
APIs
Unit testing
GraphQL
Manufacturing
AI
TypeScript
Graph databases
Spring framework

Full job description

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

Position Overview

Location: Pune, India (Hybrid: 3 days/week from the office)
Employment Type: Full-Time, Individual Contributor (IC) Roles
Experience Levels: Mid, Senior, and Principal levels available depending on track match.

Strict Application Filters

Notice Period: Maximum 30 days (Immediate joiners strongly preferred). Candidates with a notice period exceeding 30 days will not be considered.
AI Experience (All Levels): Mandatory production or hands-on exposure to AI architectures for ALL roles. Whether you are a Mid-level developer or a Principal Architect, you must have experience building or integrating applications with LLMs, prompt engineering, vector embeddings, RAG pipelines, or agentic frameworks.

Choose Your Track

We are hiring across multiple core engineering domains. When applying to this pipeline, your profile will be evaluated for one of the following tracks based on your core expertise:

Track A: Full-Stack Product Engineering (Mid to Senior Levels)

Core Focus: Building feature-rich, high-performance web applications that integrate with backend AI intelligence.
Key AI Requirements: Experience consumption of streaming AI APIs, orchestrating UI states based on dynamic LLM responses, and building interfaces for AI-driven workflows.
Key Responsibilities:
- Engineer end-to-end user journeys, deploying highly interactive frontends and resilient microservices.
- Integrate user interfaces seamlessly with autonomous backend agents.
- Maintain clean code standards, unit testing, and optimize front-end performance for complex enterprise user workflows.
Tech Stack: Modern JavaScript/TypeScript frameworks (React.js, Angular, or Vue), Node.js/Java backends, RESTful APIs, GraphQL, Microservices.

Track B: Agentic AI & Intelligence Infrastructure (Principal Level)

Core Focus: Building the runtime orchestration and data models that power our autonomous AI agents.
Key Responsibilities:
- Architect the multi-step agent orchestrator, tool dispatch systems, state machines, and error recovery frameworks.
- Design and optimize the Enterprise Knowledge Graph schema and manufacturing domain ontologies.
- Own LLM Gateway architecture: model routing, cost governance, latency SLOs, and streaming responses.
Tech Stack: LangGraph, AutoGen, Model Context Protocol (MCP), Neo4j, Amazon Neptune, RDF/OWL ontologies, Vector/Graph hybrid search, Distributed Systems.

Track C: Platform Architecture & Modernization (Principal Level)

Core Focus: High-throughput backend systems, cloud infrastructure scaling, and database evolution optimized for heavy AI workloads.
Key Responsibilities:
- Lead enterprise-scale Java application refactoring, modularization, and future-proofing application logic for modern cloud & AI layers.
- Redefine data architecture, manage complex schema migrations, optimize performance, and scale PostgreSQL backends to feed downstream AI data pipelines.
- Enhance infrastructure reliability, sandboxing patterns, and cloud-native microservices architecture.
Tech Stack: Java/Spring Boot (advanced refactoring), PostgreSQL (expert-level indexing, query tuning, migration), AWS/Cloud-native architectures, Kubernetes, Docker.

Qualifications

General Qualifications & Mindset

Experience: 3+ years for Mid/Senior Full-Stack roles; 10+ years of deep technical expertise for Principal tracks.
AI Grounding: Proven experience shipping production software interacting with AI workflows, RAG, vector databases, or complex distributed data layers.
Problem Solver: Strong logical thinking; capable of driving functional solutions end-to-end and influencing technology choices.
Ownership: A detail-oriented mindset with a focus on code quality, testing, and system reliability.

Additional Information

Why QAD?

Structured Mentorship: Benefit from a structured program and training designed for rapid career development.
Inclusive Culture: Join a collaborative and inclusive environment that champions learning, growth, and diverse perspectives.
Ready to step into the future of manufacturing? Apply now and start building a System of Action!

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.

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