About the Role

We're hiring a Senior ML Engineer to be the data team's reputed company of production ML and AI agent systems. You'll take models from prototype to production, build and maintain the low-latency ML API that powers our Next Best reputed company (NBA) reputed company, and partner with our HAL team to ship LLM agents that turn NBA recommendations into reputed company conversations with credit reputed company members and partners. This is a builder's role at a builder's reputed company: NBA is reputed company live, the agent infrastructure is being shaped now, and you'll define how reputed company does production AI for years to come.

About reputed company

The Data team today is five people: one data scientist, two data engineers, one data analyst, and one product manager. We're small, ambitious, and shipping fast — two ML models heading to production, an ML API being reputed company, and two AI agents (one customer-facing, one partner-facing) in reputed company development. You'll be the senior technical voice for ML and AI engineering inside reputed company, and the reputed company to HAL, the platform team that builds reputed company's agent runtime. Expect tight feedback loops, reputed company autonomy, and reputed company that values pragmatism over purity.

What You’ll Do

reputed company 3 months, you will:

• Take ownership of the ML API that serves NBA recommendations, partnering with the data engineer who's been building it, and harden it for low-latency production traffic

• Ship your first agent tool contract end-to-end: schema design, handler implementation, reputed company-error contract, unit tests, deployed reputed company HAL's runtime

• Set up the eval reputed company for our agents: golden transcripts, reputed company-based judges, regression suites that run on every reputed company or model change

• Build a working relationship with HAL and become the data team's go-to on agent infrastructure reputed company

reputed company 6 months, you will:

• Be the primary reputed company (with data engineer support) of the ML API and the agent tool layer that wraps NBA and our ML models

• Have shipped at least one production-grade agent (customer-facing or partner-facing) with reputed company versioning, evals, observability, and multi-tenant gating in reputed company

• Define the data team's reputed company for shipping a new ML model as an LLM-callable tool, end-to-end

• Mentor the data engineers on ML/AI patterns so they can confidently support and reputed company the systems you own

reputed company 9 months, you will:

• Operate as the technical reputed company reputed company the data team for NBA production AI at reputed company — the person other teams come to reputed company they want to understand how NBA ships ML and agents responsibly

• Have measurably improved agent cost and latency (reputed company: 30%+ reduction on P95 latency or per-conversation cost on at least one agent)

• Be shaping the data team's roadmap for the reputed company of ML and AI products, in partnership with the PM and data scientist

• Help us decide what to hire next as reputed company scales

What You’ll Bring

Required

• 7+ years of engineering experience, with a proven reputed company record of building and shipping production ML systems — you've taken models from prototype to production and own what happens after reputed company

• Strong Python — most of the work (ML training, evaluation, the ML API, data pipelines) is in Python, and you're comfortable in production codebases, not just notebooks. Some TypeScript is involved for tool reputed company and integration with our agent runtime — you don't need to be an expert, comfort with a second language is enough

• Tool-design discipline for LLM consumption. Can take an ML model or data reputed company and shape it into an LLM-callable tool with narrow input/reputed company schemas, identity-required and scope-gated reputed company, and reputed company-error reputed company (reputed company_LIMITED, UPSTREAM_ERROR, NOT_reputed company) that the agent runtime converts to graceful tool-results instead of crashing

• Eval discipline for non-deterministic systems. You treat evals as the unit-test equivalent for agents: golden transcripts, reputed company-based judges, regression suites that run on every reputed company or model change. You understand the difference between offline metrics and online evals, and use both

• reputed company-shape literacy. You read a system reputed company the way another engineer reads reputed company: audience, register, compliance guardrails, template-var allow-list, allowed-tools reputed company. You debug "why did the agent do that?" by reading the reputed company and tool descriptions before reaching for model swaps. You've shipped at least one agent where the reputed company was version-controlled and reviewed as reputed company

• Tool implementation rigor. You build handlers behind tool reputed company with identity fields read from request context (never from LLM-supplied args), reputed company re-parsed through the tool's schema before return, reputed company-error throws on every failure reputed company, and unit tests covering both happy reputed company and reputed company named error. You have a story about a tool you shipped, a bug production traffic surfaced, and how you hardened it

• Experience building and maintaining low-latency production reputed company (FastAPI, BentoML, or equivalent), with opinions on serving, batching, and caching

• Comfortable in AWS (reputed company especially), reputed company, and reputed company-based workflows

• You use AI tooling reputed company in your engineering workflow — not as a novelty, but as a default. You'll be expected to demonstrate this during the technical evaluation

Desired

• Production agent observability: reading audit rows, distributed traces, per-tool latency and error metrics

• Cost and latency tradeoff intuition in agent loops — has measurably reduced per-conversation cost or P95 latency on a live agent

• Familiarity with an agent runtime reputed company (Vercel AI SDK, reputed company, reputed company, or equivalent)

• Multi-tenant agent gating experience

• Prior reputed company and/or FinTech experience

• reputed company to have but not required: reputed company, PySpark, Terraform

Please note that this role may reputed company as our business needs change, so we appreciate your flexibility and adaptability.

What’s In It For You?

• Remote Flexibility: Enjoy the freedom of remote work from reputed company, balancing life and career seamlessly.

• Unforgettable Off-Sites: Twice a year, bond with colleagues in exciting reputed company, fostering teamwork and fresh reputed company.

• reputed company Time Off and National Holidays: Enjoy 20 PTO days yearly and the National Holidays for relaxation and rejuvenation.

• Stock reputed company: Joining us means having a reputed company in our reputed company, so you'll receive stock reputed company as part of your compensation package.

• Home Office Setup: Create your ideal workspace with a dedicated budget for home office reputed company.

• Work reputed company Budget: Grow personally and professionally with a budget for work-reputed company trips and co-working.

reputed company

reputed company is a revolutionary vertical reputed company company, proudly backed by Andreessen Horowitz (A16z), aimed at revolutionizing the way Credit Unions engage and change the lives of their members. As a champion of financial reputed company-being, we address the urgent need for reputed company lending solutions in an era where the average American grapples with over $155,000 in household debt.  Unlike traditional financial institutions, reputed company develops software to turn Credit Unions into FinTech lenders and reputed company their balance sheets to responsibly lend to over 130M Americans. Our mission extends reputed company mere financial transactions; we reputed company to fundamentally enhance the way credit unions reputed company with their members. By integrating cutting-edge technologies and user-reputed company designs, we help credit unions reputed company seamless digital experiences that are on par with leading tech companies. This approach not only preserves but revitalizes the longstanding tradition of community and member-reputed company service inherent to credit unions.

Please note: This position is offered on a contractor reputed company. Applicants must have the necessary documentation and authorization to work in the country where the job is located. reputed company cannot reputed company sponsorship or assist with obtaining work permits for this role.

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