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Arc Exclusive
Arc Exclusive

Senior AI Engineer WW-FT

Location

Remote anywhere

Hourly rate

Hourly rate

Min. experience

5+ years

Hours per week

35 hours

Duration

24 weeks

Required skills

PythonPostgreSQLTypeScriptJavaScriptTensorFlowPyTorchSupabaseAWS

Freelance job
Posted 6 hours ago
Apply now
Actively recruiting / 17 applicants

Role Overview

Join Tally as a Senior AI Engineer and contribute to an AI-first accounting platform designed for SMEs. Our mission is to automate financial workflows with extreme precision and reliability. Unlike typical LLM features, our system demands end-to-end deterministic reliability, ensuring that "almost right" is never acceptable in the financial domain.

Responsibilities

  • Design and implement systems that ensure deterministic behavior in non-deterministic models, maintaining reliability over time.
  • Bridge the gap from "demo to production" by developing agents capable of handling real-world complexities and edge cases.
  • Prevent state drift in complex, multi-step workflows to maintain consistency.
  • Convert non-deterministic LLM outputs into predictable, measurable behavior.
  • Develop frameworks for evaluating AI system performance with a focus on rigor and statefulness.
  • Enhance determinism and reliability within agent workflows.
  • Instrument systems to ensure outcomes are measurable and metrics-driven.

Required Skills

  • Expertise in building stateful AI systems managing real-world workflows.
  • Strong software engineering fundamentals demonstrating engineering rigor.
  • Proficiency in managing agent failure modes and developing corrective loops.
  • Experience with evaluations, automated benchmarking, context management, memory architectures, and advanced agent design patterns.
  • A metrics-first approach to problem-solving, emphasizing that what isn't measured, isn't solved.

Nice to Have

  • Familiarity with Python, TypeScript, and JavaScript.
  • Experience with frameworks and tools such as PyTorch, TensorFlow, LangChain, and OpenAI/Anthropic APIs.
  • Knowledge of data storage solutions like PostgreSQL, Supabase, and Redis.
  • Experience with infrastructure tools like Docker, Kubernetes, and AWS/GCP.
  • Familiarity with evaluation and monitoring tools including Weights & Biases, MLflow, and custom benchmarking frameworks.
  • Experience with workflow and state management tools such as Airflow and Temporal.

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