Senior Backend Engineer

Instrumentl
United States, Canada
Workplace: RemoteFull timeUSD 175,000 - 220,000 annuallyFunction: Software EngineeringExperience: 7+ yearsSkills: ["Python","SQL","TypeScript","Node.js","Ruby on Rails","AWS","GCP","Docker","CI/CD","Observability","LangChain","LlamaIndex","Semantic Kernel"]

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.

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FursaFursa
Instrumentl
Instrumentl
2 months ago

Senior Backend Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 15 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, Canada
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
WebsiteLinkedIn