Senior Backend Engineer

The Consensus; Canada; On-site; CAD 130,000 - 195,000; Full time

Benefits offered by this job

Health, dental, and vision insurance

Generous PTO

401(k)

Home-office stipend

Bi-annual company retreats

Growth opportunities

Job summary

Instrumentl is hiring a Senior Backend Engineer to own AI features end to end. You will build APIs, tool-using agents, and RAG pipelines turning frontier LLMs into grant discovery and drafting tools used by 5,500+ nonprofits. This is a high-ownership role on a small team with fast customer impact.

Required 7+ years in production Python backend systems, plus hands-on LLM experience and strong data skills. Collaboration with Product, Design, and GTM is key, with emphasis on reliability and

Qualifications

• 7+ years building production backend systems in Python with FastAPI/Celery.
• Hands-on experience building LLM features in production with guardrails and evals.
• Strong data fundamentals: SQL, schema design, and data pipelines.
• Thrives in a fast, scrappy startup environment with high ownership.

Responsibilities

• Ship AI to production: build tool-using LLM agents, multi-step workflows, and guardrails.
• Build trustworthy backends: reliable services with observability, SLAs, rollback.
• Collaborate with Product, Design, and GTM; run experiments and iterate.
• Raise engineering standards with clear, maintainable code, tests, docs, and reviews.

Skills

Python backend

LLM features in production

SQL

Startup mindset

Tools

FastAPI

Celery

AWS

GCP

Docker

CI/CD

Job description

Hello, we’re Instrumentl.

Nonprofits do some of the most important work in the world, and most of them are still managing grants in spreadsheets. We're fixing that.

Instrumentl is a profitable, hypergrowth, YC-backed SaaS platform building the operating system for grant-funded organizations. More than 5,500 nonprofits use Instrumentl to discover, track, and win grant funding, from local community organizations to the San Diego Zoo and the University of Alaska. Collectively they’ve moved over $1 billion through our platform.

We're growing more than 40% year over year, customers love us (Ellis PMF 60+), and we're hiring people who want to build something that matters.

About the role

We’re hiring a Senior Backend Engineer to own AI features end to end, from rapid prototype to production and the evaluation that keeps them honest. You'll build the APIs, tool-using agents, and RAG pipelines that turn frontier LLMs into grant discovery, application drafting, and research tools our 5,500+ nonprofits rely on every day. It's a high-ownership seat on a small team, where what you ship reaches customers fast and you help shape how we build AI here.

What you’ll do

Ship AI to production

• Build tool-using LLM agents (task planning, function and tool calling, multi-step workflows, guardrails) for grant discovery, application drafting, and research assistance.
• Turn prototypes into resilient, observable services with clear SLAs, rollback and fallback strategies, and cost and latency budgets.
• Stand up evaluation and observability so our AI stays grounded, safe, and cost-effective.

Build trustworthy backends

• Write high-quality, thoroughly tested code across the backend and the data pipelines that power retrieval and evaluation.
• Contribute to reliability practices: alerts, dashboards, and incident response.

Collaborate and raise the bar

• Partner with Product, Design, and GTM on scoping, UX, and measurement.
• Run experiments (A/B, canaries), interpret results, and iterate.
• Raise engineering standards through clear, maintainable code, tests, docs, and thoughtful review.

What we’re looking for

Required

• 7+ years building and shipping production backend systems in Python (FastAPI, Celery, or equivalent), taking features from prototype to production with real reliability practices like tests, observability, and rollback.
• Hands‑on experience building LLM features in production: tool and function calling, multi‑step agent workflows, and the guardrails and evals that keep them grounded, safe, and cost‑effective. This is the core of the role.
• Strong data fundamentals: SQL, schema design, and building pipelines that power retrieval and evaluation.
• Thrives in a fast, scrappy startup environment with high ownership and a bias for action, speed, quality, and simplicity.

Nice to have

• TypeScript and Node, plus familiarity with Ruby on Rails (our core platform) or a willingness to learn it.
• Experience with AWS or GCP, Docker, CI/CD, and observability (logs, metrics, traces).
• RAG depth: document ingestion, chunking and windowing, embeddings, hybrid search (keyword plus vector), re‑ranking, and grounded citations.
• Experience with re‑rankers and cross‑encoders, hybrid retrieval tuning, or search and recommendation systems.
• Evaluation mindset: designing eval suites (RAG/QA, extraction, summarization) using automated and human‑in‑the‑loop methods, with familiarity with frameworks like Ragas, DeepEval, or OpenAI Evals.
• Orchestration frameworks: LangChain or LangGraph, LlamaIndex, Semantic Kernel, or custom orchestration.

Compensation & Benefits

For US‑based candidates, the target salary range for this role is 175,000 - $220,000 USD, plus equity. Final compensation is determined based on experience, skillset, scope of responsibility, interview performance, and geographic location. We’re committed to paying competitively and equitably.

For candidates based in Canada, compensation varies by province and will be shared by your recruiter early in the process.

Benefits

• 100% covered health, dental, and vision insurance for employees (50% for dependents)
• Generous PTO, including parental leave
• 401(k)
• Company laptop and home‑office stipend
• Bi‑annual company retreats
• Instrumentl is evolving rapidly. You’ll always have new challenges and opportunities to grow here.

Instrumentl is an equal opportunity employer. We are committed to building an inclusive workplace and do not discriminate based on race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or expression, genetic information, or any other legally protected status. We encourage candidates from all backgrounds to apply. If you need a reasonable accommodation during the application or interview process, please let us know.