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Senior Python Backend Engineer (AI + Agent Orchestration)

4 years

0 Lacs

Posted:12 hours ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

About Us


Particle Execution

a suite of AI Agents

We’ve just launched to our first paying customers and are scaling fast.


The Role


senior backend engineer


  • Architecting and scaling agent workflows (LangGraph or LangChain-style)
  • Architecting and scaling our products backend
  • Designing APIs that support dynamic, memory-augmented agents
  • Integrating with 3rd-party tools like CRMs, Slack, Notion, Google Drive
  • Helping productionize memory (vector DBs + custom feedback logic)


You’ll work closely with our Software Development team, Product Designer, AI automation engineers, and product founders - shipping fast, learning from users, and iterating quickly.


What You’ll Work On


  • Building

    dynamic agent routing workflows

    (LangGraph-style graphs)
  • Developing & maintaining backend APIs (FastAPI or similar)
  • Integrating

    external systems

    like Hubspot, Google Drive, Notion, etc.
  • Handling

    vector-based memory + feedback

    and storing context intelligently
  • Contributing to overall product architecture (auth, user access, security, etc.)
  • Potentially helping architect early self-serve features (e.g. Zapier-style connections)


Requirements


  • 4+ years backend development experience in Python
  • Experience with Postgres as well or any SQL based database
  • Strong expertise in in AI & ML & NLP
  • Strong knowledge of

    FastAPI

    , Flask, Django or similar
  • Experience with

    LLM tooling

    : LangChain, OpenAI, Pinecone/Weaviate/Chroma, etc.
  • Comfortable designing and implementing

    stateful workflows

  • Solid understanding of

    async Python

    and API-first development
  • Familiarity with vector databases, embeddings, and RAG concepts
  • Hands-on experience building and maintaining scalable systems
  • Startup-ready: fast-moving, self-directed, hands-on


Bonus (but not required)


  • Experience using or contributing to

    LangGraph

  • Background in agent-based modeling or state machines
  • Experience building agent orchestration or workflow engines
  • Familiarity with CrewAI, AutoGen, or similar frameworks
  • DevOps skills (Docker, CI/CD, GCP, etc.)


Why Join Us


  • Be part of a

    zero-to-one product

    with massive potential
  • Work directly with experienced founders and a sharp technical team
  • Influence architecture and product strategy from day one
  • Get exposure to cutting-edge AI infrastructure


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