✦ Luna Orbit — Software Engineering

Backend Engineer, Agents

at Hebbia

📍 New York City; San Francisco, CA Onsite Posted March 08, 2026
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Position Details

Type Not Specified
Experience mid
Exp. Years Not specified
Education Not specified
Category Software Engineering

About this role

Hebbia seeks a backend engineer to develop scalable, agentic systems powered by multi-agent frameworks and large language models, supporting deep research and retrieval tasks.

Key Responsibilities

  • Build scalable agentic frameworks
  • Develop high-throughput inference engines
  • Manage graph mutations and metadata
  • Ensure system reliability
  • Collaborate on deep research infrastructure

Technical Overview

The role involves working with distributed systems, multi-agent frameworks, LLM inference engines, and complex graph mutation management to support AI-driven research and retrieval.

Ideal Candidate

The ideal candidate is a mid-level backend engineer experienced with distributed systems, multi-agent frameworks, and large language model inference engines, capable of building scalable agentic systems.

Must-Have Skills

SystemsDistributed systemsData modelingMulti-agent frameworksLLM inference engine

Nice-to-Have Skills

Asynchronous DAG orchestratorGraph mutationsMetadata generation

Tools & Platforms

None specified

Required Skills

SystemsDistributed systemsData modelingMulti-agent frameworksLLM inference engineDAG orchestratorGraph mutationsMetadata generation

Hard Skills

SystemsApplication layer softwareData modelingDistributed systemsMulti-agent frameworksLLM inference engineAsynchronous DAG orchestratorGraph mutationsMetadata generation

Soft Skills

AccountabilityAttention to detailProblem-solvingTeamwork

Industry & Role

Industry Fintech
Job Function Developing scalable, agentic backend systems for AI research and retrieval

Keywords for Your Resume

Backend EngineerSystemsDistributed systemsData modelingMulti-agent frameworksLLM inference engineAsynchronous DAG orchestratorGraph mutationsMetadata generationAgentic systemsScalable infrastructureDeep research capabilitiesDistributed systems infrastructureDeep researchAsynchronous DAG

Deal Breakers

Lack of experience with distributed systems, No background in multi-agent frameworks or LLMs, Inability to work in New York City or San Francisco

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