almost 2 years ago
Bengaluru, IndiaStaff+
Responsibilities
- Design and operate scalable multi-agent systems using planner-executor patterns and deterministic flow control.
- Build hierarchical memory systems supporting ephemeral, semantic, and structured knowledge across product lines.
- Lead Knowledge Graph modeling and GraphRAG pipeline development.
- Build the foundational Agentic Platform, including tool registries, identity-resolved profile services, and A2A protocols.
- Optimize production inference through model routing, semantic caching, streaming, and strict latency targets.
- Establish AgentOps standards for continuous evaluation, trajectory analysis, circuit breakers, and human-in-the-loop escalation.
- Lead parameter-efficient fine-tuning and efficient deployment of open-source LLMs using LoRA and multi-adapter serving.
- Design, implement, and maintain scalable backend and distributed systems.
- Troubleshoot complex production issues and ensure backend reliability, security, and performance.
- Mentor engineers and provide technical guidance while setting architectural direction across teams.
Requirements
- Master’s or PhD in Computer Science or a related technical discipline.
- 10–12 years of industry experience, including 3–5 years delivering production-grade AI/ML or Generative AI solutions at scale.
- Proven experience architecting multi-agent orchestration systems and complex hierarchical memory stacks.
- High proficiency in Python and at least one compiled language: Java, Go, Rust, or C++.
- Expertise in Knowledge Graph modeling and GraphRAG pipeline construction.
- Mastery of LLMOps and AgentOps lifecycles, including distributed tracing, trajectory evaluation, and cost-per-goal optimization.
- Hands-on experience with parameter-efficient fine-tuning using LoRA or QLoRA and multi-adapter serving frameworks.
- Strong architectural judgment, systems thinking, technical communication, mentoring, and cross-functional influence.
Benefits
- Competitive salary, equity, and spot bonuses.
- Paid sick leave.
- Comprehensive health insurance for employees and parents.
- Paid parental leave.
- Hybrid work from the Bengaluru office.
Categories
About Neuron 7
Neuron7 builds AI software for complex service operations, using a Service Expertise Graph from past cases and knowledge to deliver step-by-step troubleshooting to technicians and support agents. It sells its platform as enterprise SaaS to manufacturers and service organizations that need consistent issue resolution and knowledge capture. Founded in 2020, the privately held company raised a Series B in 2024.