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Senior AI / LLM Agent Engineer

On-site Full-time

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Experience Level

Senior

Qualifications

Minimum of 3 years of experience in production with Python and/or TypeScript, strong systems design skills, hands-on experience with LLM technologies, and knowledge of security principles.

About the job

Join Causa Prima as a Senior AI / LLM Agent Engineer, where you will play a pivotal role in shaping our innovative product. You will design, develop, and manage autonomous agents that facilitate various critical business processes, including invoice validation, dispute resolution, inter-company negotiations, and cash flow optimization.

Your Responsibilities

  • Agent Architecture , Create a robust multi-agent system focusing on agent boundaries, event contracts, orchestration patterns, and the integration of LLM reasoning with deterministic enforcement.

  • Document Processing Pipeline , Develop a system for the ingestion, classification, and structured extraction of financial documents such as invoices and contracts using LLM-based parsing and vision models.

  • Validation & Anomaly Detection , Implement business rule checks, three-way matching, and pricing discrepancy detection to ensure data integrity and identify anomalies over time.

  • Integration Framework , Design integration solutions connecting with Gmail, Google Drive, Slack, banking APIs, crypto wallets, and accounting platforms, including robust authentication and data normalization processes.

  • Knowledge Graph , Build a Neo4j context graph to capture implicit business knowledge, focusing on entity extraction and provenance tracking.

  • Multi-LLM Strategy , Develop a strategy for selecting models per agent, establishing structured output contracts, and creating evaluation frameworks.

  • Compliance & Security , Design systems that operate within a zero-trust model, ensuring agents verify against original data and manage outbound content securely to mitigate risks.

Qualifications

  • A minimum of 3 years of experience with Python and/or TypeScript in a production environment.

  • Strong systems design acumen, with a focus on agent boundaries and failure modes.

  • Proven hands-on experience with LLM-powered systems and document AI technologies.

  • Ability to articulate when to use LLMs versus rules engines or traditional ML approaches.

  • Experience in designing data pipelines and integration architectures in production.

  • A strong understanding of security principles and their implications in system design.

About Causa Prima

Causa Prima is at the forefront of AI-driven solutions, focusing on creating autonomous agents that enhance business operations and decision-making processes.

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