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Open nowPosted 44 days ago

AI Engineer

Scrabble & Jigsaw

Where
Bangalore Urban, India
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Your applicationOpen nowAI EngineerScrabble & Jigsaw · Bangalore Urban, India

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  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

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The clock on this job

Early applications get read.

11.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted 44 days ago

The posting

AI Engineer

Scrabble is partnering with an AI Legal Tech startup.

Responsibilities

  • Design and deploy production-grade LLM agents capable of operating autonomously for extended periods, including managing state, memory, retries, escalation, and recovery processes.
  • Build and maintain an integration layer that abstracts the complexities of various legal case management systems (e.g., Clio, Filevine, Litify, MyCase) into a unified, user-friendly interface.
  • Establish and uphold reliability standards through rigorous evaluations, transcript regression testing, and identification of edge cases.
  • Refine the conversational abilities of the AI agent, ensuring the voice and tone meet high standards by analyzing transcripts and user interactions.
  • Develop a streamlined onboarding process for new law firms, accommodating their unique intake forms, processes, and CMS configurations within days.
  • Collaborate directly with customers, founders, and a small team of developers, taking full ownership of the workstream without reliance on managers or handoffs.

Qualifications

  • Proven experience shipping LLM-based agents in production environments with real users and handling real failures.
  • Strong understanding of agent reliability engineering, including writing evaluations, regression tests, and handling edge cases.
  • Experience normalizing and integrating messy third-party systems, such as legacy APIs and diverse configuration requirements.
  • Product instincts with a focus on conversational quality; ability to identify and improve conversational missteps.
  • High standards for engineering quality and reliability, self-motivated to maintain excellence.
  • Excellent communication skills and ability to work collaboratively in a small team.
  • Educational qualifications: BTech, BSc, MSc, or equivalent in Computer Science, Engineering, or related fields.

Preferred Skills

  • Experience working with legal or case management software integrations.
  • Familiarity with conversational AI, voice interfaces, and natural language processing.
  • Prior experience in automating workflows within highly fragmented or legacy systems.
  • Ability to quickly adapt to new tools and environments, with a focus on rapid onboarding and iteration.

Experience

  • Demonstrated 2+ years of relevant experience deploying LLM agents in production with real-world failure handling.
  • Experience working with APIs, legacy systems, and multi-system integrations.
  • Proven ability to handle complex failure scenarios and improve system robustness.
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