Deduction Logo

Deduction

Senior AI Engineer

Posted 3 Days Ago
Remote
Hiring Remotely in United States
Senior level
Remote
Hiring Remotely in United States
Senior level
Build and scale production agentic AI systems for a regulated fintech platform. Responsibilities include architecting AI infrastructure, improving context, memory and state management, developing evaluation systems, integrating AI features with TypeScript and Node.js, enforcing security and privacy controls, and establishing AI-native engineering practices. The role requires reliable, production-scale AI experience and comfort working in a fast-moving startup environment.
The summary above was generated by AI
Company Description

Deduction.com is a consumer fintech startup reimagining tax from a stressful, once-a-year “homework” exercise into a seamless, year-round financial partnership. We combine an agentic AI core with human CPA expertise to deliver highly accurate outcomes, a better customer experience, and fundamentally more efficient operations.

We’re a small, high-ownership team. Engineers here don’t just implement—they define systems, make decisions, and own outcomes end-to-end. This is a remote-first role within the U.S., with optional in-person collaboration in New York and Chicago.

Role Description

We are looking for a Senior AI Engineer to join our growing AI team, working in lockstep with our Founding AI Engineer. While our founding team has laid the groundwork for our agentic core, your mission will be to expand, harden, and scale these systems.

You’ll sit at the intersection of AI platform and production backend engineering. You aren't just building prototypes; you are building the durable infrastructure that allows our AI agent, Taylor, to reason through complex tax logic for our rapidly growing client base. This is a role for a builder who loves the challenge of making non-deterministic AI systems behave reliably in a highly regulated, high-stakes environment.

What You'll Do
  • Architect & Scale AI Systems: Work closely with the Founding AI Engineer to evolve our AI systems to a robust, governed, cutting-edge platform.

  • Harden the Reasoning & Context Layer: Design sophisticated context engineering systems—managing memory and state while improving reliability, performance, and user experience.

  • Build a Multi-Layered Evaluation Platform: Design and implement a robust system for continuous quality improvement, leveraging comprehensive offline test suites, LLM-as-a-judge scoring (AI Auditor), and production-based CPA moderation to create a data flywheel.

  • Full-Stack AI Delivery: Write production-ready TypeScript (Node.js), ensuring AI features are seamlessly integrated into our core fintech platform.

  • Security-First Design: Ensure context boundaries and data retrieval paths natively enforce strict security, privacy, and compliance guardrails to protect client data.

  • Lead AI-Native Development: Set the standard for using AI to build AI—leveraging advanced coding assistants and automated testing to maintain high velocity and socializing best practices across the team.


Core Requirements
  • Production AI Experience: You have a track record of taking AI features beyond "demo-ware" and into production at scale.

  • Context Engineering & AI Orchestration Mastery: Proven experience building systems where the primary challenge is managing context, memory, state at scale.

  • Collaborative Architect: You enjoy working closely with other senior leads to brainstorm, peer-review, and iterate on complex system designs.

  • The Stack: TypeScript (Node.js). Production experience with AI orchestration and evaluation. Familiarity with observability tooling is a plus.

  • Fintech/Regulated Context: You understand that in tax, "mostly right" is wrong. You have the discipline required for building in a regulated space.

  • Growth Mindset: You are ready to go from zero → one → scale with minimal friction, leaning into the evolving nature of the AI stack.

  • Early-Stage Appetite: You thrive in environments where priorities shift fast, scope isn't always locked. You'd rather ship, experiment, and iterate than wait for a perfect spec.

AI-Native Development
  • You actively use AI tools as a core part of your development workflow (not optional)

  • You believe the software engineer’s job is fundamentally changing—and you lean into that shift

Similar Jobs

3 Days Ago
In-Office or Remote
120K-215K Annually
Senior level
120K-215K Annually
Senior level
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Designs and deploys enterprise AI/ML solutions, scalable models, data pipelines, and MLOps architectures in cloud production environments. Responsibilities include model monitoring and optimization, responsible AI implementation, workflow automation, emerging technology evaluation, cross-functional architecture collaboration, code reviews, and mentoring. The role focuses on healthcare challenges and supports production-grade machine learning systems, including real-time inference and continuous integration and deployment.
Top Skills: AirflowAWSAzureCi/CdDockerFhirGCPGenerative AiHl7KafkaKubeflowKubernetesLarge Language ModelsMlflowMlopsPythonPyTorchRetrieval-Augmented GenerationScikit-LearnSparkSQLTensorFlow
3 Days Ago
Remote or Hybrid
USA
160K-250K Annually
Senior level
160K-250K Annually
Senior level
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Design, build, deploy, and scale production AI agents and platforms for legal workflows. Develop and evaluate agent solutions, optimize performance and cost, redesign business processes, and promote responsible AI adoption. Collaborate with Legal, Enterprise AI, Data, Security, Privacy, and Engineering teams to deliver secure, reliable, scalable solutions. Contribute frameworks, training, governance guidance, and innovative applications using modern LLM and AI techniques.
Top Skills: Advanced RetrievalAgent FrameworksAi AgentsAi GatewaysAi/MlAWSFine-TuningGCPKnowledge GraphsLarge Language ModelsModel Context ProtocolModel CustomizationMulti-Agent SystemsMultimodal Document ProcessingPythonSecure Tool IntegrationsSynthetic Data
4 Days Ago
Remote or Hybrid
212K-407K Annually
Senior level
212K-407K Annually
Senior level
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Architect and engineer secure, scalable enterprise AI infrastructure for LLM training and inference, machine learning, agentic AI, and production platforms. Lead HPC, GPU, Kubernetes, cloud, networking, storage, reliability, observability, security, and automation strategies. Resolve complex performance and scalability challenges, establish engineering standards, evaluate emerging technologies, lead cross-functional initiatives, and mentor engineers in a regulated environment.
Top Skills: Accelerated ComputingAgentic AiCloud-Native PlatformsDistributed SystemsGpuHigh-Performance NetworkingHpcHybrid CloudInfrastructure AutomationKubernetesLlmsMachine LearningObservabilityPrivate CloudRack-Scale SystemsSreStorage

What you need to know about the Los Angeles Tech Scene

Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.

Key Facts About Los Angeles Tech

  • Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
  • Key Industries: Artificial intelligence, adtech, media, software, game development
  • Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
  • Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account