Software Engineer

4 years

0 Lacs

Posted:10 hours ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

About Nova:


Nova is building AI teammates that help businesses protect revenue, prevent invisible losses, and free teams from repetitive work. We focus on high-impact areas like reconciliations, contract reviews, and compliance tracking; turning manual tasks into ROI-driven automation that empowers people to do their best work.


About the role:


Product Engineer II - Integrations


fast turnaround



What you will work on:


  • Build and maintain

    MCP-based connectors

    so Nova’s agents can discover and integrate with external systems.


  • Develop

    API/SDK-based integrations

    with enterprise tools (e.g., accounting, ERP, CLMs, compliance systems).


  • Handle both

    structured (databases, APIs)

    and

    unstructured (documents, filings, emails)

    data sources.


  • Write

    reliable, production-ready code

    that can be deployed and monitored quickly.


  • Ensure integrations include proper

    logging, retries, error handling, and monitoring

    .


  • Collaborate with ML and backend engineers to make integrations seamless within Nova’s workflows.


  • Stay up to speed with

    new SaaS APIs, Finance/Legal/Tax tools

    , and propose which integrations we should build next.


What we are looking for:


  • 3–4 years of experience as a

    Software / Product Engineer

    working on integrations or backend systems.


  • Strong with

    Node.js/TypeScript

    and/or

    Python

    , REST/GraphQL APIs.


  • Experience building connectors to SaaS products, enterprise APIs, or third-party SDKs.


  • Comfortable with

    authentication flows

    (OAuth2, JWT, API keys).


  • Ability to work with

    Docker/Kubernetes

    and deploy to

    AWS/GCP

    .


  • You move fast: you’ve built end-to-end integrations in days, not months.


  • Bonus: Familiarity with

    MCP

    , event-driven systems, or finance/legal/tax domain APIs.


What you will get:


  • A chance to build from 0 to 1 the AI backbone of a product targeting a $100M+ ARR opportunity.


  • End-to-end ownership and visibility, your code will run in production, not in notebooks.


  • A front-row seat to shape how agentic AI gets applied to real-world, high-stakes problems.


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