Instrumentl

4 weeks ago

Senior Backend Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 20 hours agoStatus: Live

Job Summary

Own AI features end-to-end by shipping production-ready backend services, building tool-using LLM agents and RAG pipelines, and driving reliability, observability, and cost control. Collaborate with Product, Design, and GTM to scope, experiment, and raise engineering standards in a fast-paced startup environment.

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Seniority: Manager level

Key Responsibilities

•Ship AI to production by building 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.
•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.
•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.

Pay and Benefits

Salary: USD 175,000 - 220,000 annually

Equity and Bonus:Equity

Perks:Health InsuranceDentalVision401kHome-office StipendParantal LeaveEquity

Key Requirements

•7+ years building production backend systems in Python (FastAPI, Celery, or equivalent) with tests, observability, and rollback
•Hands-on experience building LLM features in production: tool and function calling, multi-step agent workflows, guardrails and evals
•Strong data fundamentals: SQL, schema design, and pipelines powering retrieval and evaluation
•Thrives in a fast, scrappy startup environment with high ownership and bias for action, speed, quality, and simplicity
•Nice to have: AWS or GCP, Docker, CI/CD, and observability (logs, metrics, traces)

Experience:7+ yearsSaaSAILLMStartup

Skills:PythonSQLTypeScriptNode.jsRuby on RailsAWSGCPDockerCI/CDObservabilityLangChainLlamaIndexSemantic Kernel

Languages:English

Tech Stack:PythonFastAPICelerySQLAWSGCPDockerCI/CDObservabilityTypeScriptNodeRuby on RailsLangChainLlamaIndexSemantic Kernel

Company Brief

Instrumentl

Provides a SaaS platform that helps nonprofits and grant professionals discover, track, and win grant funding by combining grant prospecting, opportunity tracking, and workflow tools with automated matching and research features.

Industry: Enterprise Software

Company Size: Small (11 to 50 employees)

Growth: Growth Stage Startup

Headquarters: Seattle, United States

Website LinkedIn

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Instrumentl

4 weeks ago

Senior Backend Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 20 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Seniority: Manager level

Key Responsibilities

•Ship AI to production by building 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.
•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.
•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.

Pay and Benefits

Salary: USD 175,000 - 220,000 annually

Equity and Bonus:Equity

Perks:Health InsuranceDentalVision401kHome-office StipendParantal LeaveEquity

Key Requirements

•7+ years building production backend systems in Python (FastAPI, Celery, or equivalent) with tests, observability, and rollback
•Hands-on experience building LLM features in production: tool and function calling, multi-step agent workflows, guardrails and evals
•Strong data fundamentals: SQL, schema design, and pipelines powering retrieval and evaluation
•Thrives in a fast, scrappy startup environment with high ownership and bias for action, speed, quality, and simplicity
•Nice to have: AWS or GCP, Docker, CI/CD, and observability (logs, metrics, traces)

Experience:7+ yearsSaaSAILLMStartup

Skills:PythonSQLTypeScriptNode.jsRuby on RailsAWSGCPDockerCI/CDObservabilityLangChainLlamaIndexSemantic Kernel

Languages:English

Tech Stack:PythonFastAPICelerySQLAWSGCPDockerCI/CDObservabilityTypeScriptNodeRuby on RailsLangChainLlamaIndexSemantic Kernel

Company Brief

Instrumentl

Industry: Enterprise Software

Company Size: Small (11 to 50 employees)

Growth: Growth Stage Startup

Headquarters: Seattle, United States

Website LinkedIn