AI Engineer

Job Description

About the job

About Filed

Filed is building the first AI tax preparer trusted by Americas accounting firms. This industry might seem boringbut its a $70B backbone of the economy thats breaking under a talent shortage no one has solved. Were fixing itfast.

In just 9 months, weve hit strong product-market fit, are generating fast-growing, sticky revenue, and are backed by top-tier investors. Were not a toolwere the missing workforce firms have been sounding the alarm for. Were building the future with expanding our already 30 person team, with those who want to say I was there when it all started.



Heres Why This Is a Terrible Job

This is not a job for someone who likes to move slow.

We operate week to week with ruthless speed. Sometimes were going in the wrong direction, but more times than not were going in the right direction.

If you need a few extra days to perfect your model, chances are theres already a handful of team members blocked behind you.

We use tools like Cursor, OpenAI, and Gemini to prototype fast, test in prod, and push to users in hoursnot quarters.

Youll be operating at the intersection of large language models, user behavior, regulatory compliance, and structured knowledge graphs.

There are no clean datasets. No definitive papers. Just judgment calls, ambiguity, and noise from every direction.

Youll ask yourself, is this really the work?

It is. And its not for everyone.



Here's Why It's The Best Career Choice You'll Make

Were hyperscaling. Were very well-funded. Generating very fast revenue, and have reached a strong product market fit score all within 9 months.

Were building what tax pros call impossible. A product that behaves like a teammate, not just another tool.

We run reviews every 4 months. We operate with total transparency around pay, performance, and progress.

Youll be paid above market. Youll earn equity that grows fast.

And youll have full autonomy to make high-impact decisions.

Youll ship models because you believe in them, not because they passed a review board.

Youll talk to users weekly. Youll drive outcomes end to end.

Well tell you the goal. How you reach itprompting, fine-tuning, embeddings, retrieval, structured datais up to you.

We expect you to build a customer Oracle. An internal simulator so precise it can predict what a user will ask, before they even ask it.

That comes from immersion, curiosity, and care.



The Teammate We're Looking For

• Thinks in probabilities, systems, and second-order consequences
• Navigates ambiguity across LLMs, APIs, and semi-structured corpora
• Gets excited by the edge cases most people run away from
• No research-for-researchs-sake we ship fast and learn even faster
• Big bonus if youve shipped AI products into production, not just demos
  
  

What Youll Be Responsible For

• Designing and implementing LLM-powered workflows across tax, finance, and compliance
• Building and scaling Graphiti-like knowledge systems for memory and retrieval
• Owning prompt pipelines, vector stores, fine-tuned models, and evals
• Becoming an Oracle with a model of the customer and the domain in your head
  
  

Your Hard Skillset

• Deep understanding of how LLMs actually work under the hoodbeyond the hype
• Fluency with APIs like OpenAI, Gemini, Claude; experience with structured evals
• Comfortable working across Python and cloud infra (GCP or Azure)
• Strong grasp of embeddings, RAG, structured retrieval, and production-grade inference
• Bonus if youve contributed to or built internal tooling for model debugging or evals
  
  

Your Soft Skillset

• Ruthlessly pragmaticknows when to ship and when to iterate
• Empathetic with users and critical of vague assumptions
• Deeply collaborative across product, engineering, and operations
• Obsessively curiousyou want to understand everything about the domain youre automating
• You own your outcomesand love having your work in front of real users daily
  
  

Growth And Levels

We operate on six levels, from Level 1 to Level 6. Each reflects increasing ownership, impact, and scope with meaningful jumps in salary and equity.

We review levels every 4 months. Promotions are based on output and ownership, not tenure.

This isnt a comfy AI role. Its fast, focused, and brutally user-driven.

You will build fast. You will learn fast. You will own what you ship.



The process

• Quick intro call
• Code and system walkthrough + async technical task
• Final round with our team
• Optional 2 to 3 day paid trial
• Then we decide together if this is the right fight
  
  

If you want to work with real users, real constraints, and build AI that goes far beyond chatbot demosthis is it.

Compensation Range: $71.5K - $149.5K