Joblaze summary

In this role, the Senior AI Engineer at DualEntry will take ownership of developing AI features, including workflows and production infrastructure, to enhance the company's financial ERP system. Candidates should have a strong background in backend development, API integration, and cloud infrastructure, along with hands-on experience in deploying production AI systems. This position is ideal for seasoned engineers who thrive in fast-paced environments and are eager to contribute to innovative financial solutions. DualEntry's culture emphasizes high agency and initiative, attracting individuals with diverse and impressive backgrounds.

Joblaze insights

Listed about a month ago — first seen on Joblaze September 3, 2026. Last confirmed on DualEntry's careers page October 21, 2026.
Salary band is below the typical range for AI/ML roles (median ~$190,000).
Starts above 14% of 257 comparable senior ai/ml roles that list Python we track (median $182,000 across 82 companies). See Python salary trends
Python appears in 45% of 1070 comparable senior ai/ml roles; RAG appears in 0.5% of 1070 comparable senior ai/ml roles.

Quick facts

Is the Senior AI Engineer role remote?: Yes — DualEntry lists this as a fully remote position.
What's the salary range?: DualEntry lists $140,000–$200,000 for this role.
How much experience is required?: At least 3 years of relevant experience for this Senior AI Engineer role.
What's the tech stack?: Joblaze extracted these technologies from the posting: AI/ML, LLMs, Python, RAG.
Does DualEntry sponsor work visas for this role?: Yes — the posting indicates visa sponsorship is available for the right candidate.
What seniority level is this role?: DualEntry targets senior candidates for this position.
Is this full-time or contract?: Full-time for this Senior AI Engineer role at DualEntry.

From the original posting

About DualEntry

DualEntry is building the OS for finance.

Where You'll Create Impact

Build!
Own AI features end-to-end - agentic workflows, RAG pipelines, and the production infrastructure that runs them at scale
Build the evaluation frameworks and experimentation loops that turn good models into reliable, production-grade systems
Apply LLMs to financial data - structured, high-stakes, and unforgiving - partnering with product and domain experts to push past what's been done in ERP before

What Sets You Up for Success

Hardcore work ethic and high agency
3+ years in a technical role with strong backend, API, and cloud infrastructure foundations
2+ years shipping production AI systems with real users and real stakes - not research or prototypes
Hands-on with production LLM applications: RAG, agentic systems, or structured extraction
Proficient in Python, comfortable across the full stack

Why You’ll Thrive Here

Significant equity ownership in one of the top AI companies in the world
Your feedback shapes the product directly
High-speed, high-trust environment with high expectations

Meet the Engineering Team

Ignacio shaped the baseline of our integration framework from scratch in a single weekend, then spent most weekends - while coordinating the team - shipping what was never on the roadmap: webhooks, a search engine for millions of transactions, and Puma itself. Pure initiative, compounding.
Marcin took a non-existent tax structure and built it end to end, setting the north star for how the team keeps improving it on top of it; modular and robust, always setting the bar for the rest.
Puhiza grew her team from one to full capacity, while owning our integration framework end to end; scaling it to support migrations, integrations, and bank connections. The queen of I/O on our platform.
Danylo took ownership of our bank connection engine end to end and rebuilt it from scratch over a weekend.

How You Operate

Pragmatic: you like to move forward and make decisions based in reality (not theory). We don't debate if Cassandra has the most theoretical scalability - we use Postgres until it breaks
Hard working: 'You can work long, hard, or smart, but [here] you can't choose two out of three' - Jeff Bezos.
Curious: you love to learn, are highly curious about new frameworks and solutions to engineering problems
Fast-moving: you deploy daily, iterate quickly, and never wait for permission

Benefits & Compensation

Equity: $45,000 - $65,000
Base salary: $140,000 - $200,000
Remote-first team - the fastest team you will have ever worked with
Home internet, co-working space & office setup support
Flexible PTO (27 days incl. public holidays)
Unlimited AI token usage
AI skills development & enablement
Visa sponsorship and relocation support for a move to NYC (after 2 years’ tenure)
In-person team meetups (our last ones: Lisbon, Vienna, Warsaw, Cyprus, and more!)

“Join us to fix the boring, think the hard, and build the impossible, so we become the most robust engineering platform for accounting the world has ever seen.”

Ignacio Brasca, Head of Engineering at DualEntry

Standard company text repeated across DualEntry's postings is omitted here.

Senior AI Engineer