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Applied AI Field Engineer

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Instabase

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Location:
United States , Boston ▼

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

157000.00 - 175000.00 USD / Year
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Job Description:

This role places you at the forefront of the Generative AI revolution, empowering you to build transformative solutions for the world’s largest enterprises. We are redefining the traditional Sales Engineering role. At Instabase, we are moving beyond static software to dynamic AI workforces. As an Applied AI Field Engineer, you will be the bridge between complex business inefficiencies and our no-code AI automation platform. You won’t just demonstrate features; you will architect intelligent workflows that transform unstructured data into action. You will partner with Account Executives to lead the technical sales motion, but your “weapon of choice” isn’t a code editor—it’s our powerful AI Hub and Workflow Orchestrator.

Job Responsibility:

  • Strategic Solutioning: Partner with Account Executives to uncover high-value customer pains
  • translate these into business requirements then into concrete AI automation designs using our platform
  • Build to Win: Design and configure compelling Proofs of Concept (POCs)
  • leverage our drag-and-drop workflow builders and our collaboration AI toolsets to show customers their own data being processed in real-time
  • Applied AI Advisory: Act as a trusted advisor on “The Art of the Possible”
  • educate customers on prompt engineering best practices, agentic workflows, and how to govern AI safely, without needing to discuss low-level model weights
  • Champion the User Experience: Be the primary feedback loop to Product Management, helping us refine the user interface and agent capabilities

Requirements:

  • Hybrid DNA: technical chops of a software engineer and the communication skills of a consultant
  • comfortable in a Jupyter Notebook as in a boardroom
  • Applied AI Fluency: 3+ years of experience building or deploying AI/ML solutions
  • understand the functional application of LLMs
  • know how to prompt a model to get the best result (Prompt Engineering)
  • understand the practicalities of Generative AI, LLMs (GPT, Gemini, Anthropic), and RAG (Retrieval-Augmented Generation)
  • Technical Storytelling: proven track record in a customer-facing role (Solutions Consultant, Sales Engineer, or Business Analyst)
  • excel at simplifying complex AI concepts for non-technical stakeholders
  • Data Literacy: comfortable working with unstructured data (documents, emails, chats)
  • understand the nuance of extracting structured value from it
  • Sales Engineering Excellence: proven track record in a customer-facing technical role (Sales Engineering, Solutions Architecture, or Forward Deployed Engineering)
  • know how to map technical features to business value
  • Problem Solving: love unstructured problems
  • can look at a messy dataset (invoices, medical records, financial statements) and instantly visualize the AI pipeline needed to structure it
  • Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or equivalent practical experience
What we offer:
  • commission
  • equity
  • benefits

Additional Information:

Job Posted:
January 02, 2026

Employment Type:
Fulltime
Work Type:
Remote work
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