Principal Architect – AI & Full Stack | 10–15 Years | Bengaluru
neuron7
| Company | neuron7 |
| Category | Engineering |
| Location | Bengaluru |
| Remote | Hybrid |
| Employment | Full-time |
| Level | Lead |
| Salary | Not stated by the employer |
| Posted | 15 Jan 2025 |
| Last verified | 10 Aug 2026 |
| Source | Employer ATS (lever) |
Description
About Us:
Neuron7.ai is a rapidly growing AI-first SaaS company focused on creating a category-defining service intelligence product. Backed by top venture capitalists in Silicon Valley and a distinguished group of angel advisors/investors, we are recognized as a startup to watch. Our swift traction in the market underscores our mission to empower enterprises to make accurate service decisions at scale. Our AI-driven platform delivers service predictions in seconds by analyzing structured and unstructured data alongside insights from leading experts. In complex service environments—such as high-tech devices, manufacturing, and medical devices—Neuron7.ai helps service leaders excel in critical metrics like first-call resolution, turnaround time, and service margins. Learn more at Neuron7.ai.
Why Join Us:
At Neuron7.ai, you’ll be part of a dynamic and innovative team that is redefining service intelligence. We value creativity, collaboration, and a commitment to pushing boundaries.
About the Team:
As a Principal Architect / Senior Staff Engineer at Neuron7.ai, you will play a key leadership role in architecting, developing, and optimizing the backend infrastructure for our cutting-edge products. You will collaborate with cross-functional teams to design and deliver scalable, high-performance systems while mentoring and guiding other engineers.
Role Overview
Neuron7 is on a mission to redefine service excellence through Resolution Intelligence. We are seeking a Senior Staff Engineer for our Agentic AI team—a technical lighthouse and force multiplier who will architect the "Smart Resolution Hub" for the world's most complex service organizations. This is a role for a core builder who believes that "AI agents are software, not magic strings," and who has the engineering discipline to move beyond chatbots to create truly autonomous, goal-oriented systems.
Primary Responsibilities
Lead Agentic Architecture: Design and operate scalable multi-agent systems using planner-executor patterns and deterministic flow control.
Architect Memory at Scale: Build the hierarchical memory stack (Ephemeral, Semantic, Structured) that ensures Neuro—our next-gen agent—can maintain context and learn from past outcomes across thousands of product lines.
Data Intelligence Excellence: Lead the modeling of our Knowledge Graph infrastructure to unlock tribal knowledge and enable GraphRAG pipelines that reduce hallucinations to zero in mission-critical environments.
Platform-as-a-Product: Build the foundational Agentic Platform—including tool registries, identity-resolved profile services, and standard A2A protocols—that enables teams across Neuron7 to deploy agents with high velocity.
Inference Optimization: Take ownership of production readiness end-to-end, implementing intelligent model routing, semantic caching, and streaming to meet strict p95 latency targets (<2s).
AgentOps Leadership: Establish architectural standards for continuous evaluation and trajectory analysis. Mentor our engineers on how to build for failure, implementing circuit breakers and human-in-the-loop escalation paths for high-stakes decisions.
Continuous Adaptation: Lead our PEFT strategy, using LoRA-based fine-tuning to adapt open-source LLMs to niche service terminologies and deploying them efficiently via multi-adapter serving.
Essential Technical Qualifications
Education: Master’s or PhD in Computer Science or a related technical discipline.
Tenure and Impact: A minimum of 10-12 years of industry experience, with at least 3-5 years delivering production-grade AI/ML or Generative AI solutions at scale.
System Mastery: Proven track record of architecting multi-agent orchestration systems (using LangGraph, AutoGen, or PydanticAI) and building complex, hierarchical memory stacks.
Programming: High proficiency in Python and at least one compiled language (Java, Go, Rust, or C++) for performance-critical components.
Data Intelligence: Expertise in Know