About Algolia
Algolia is the leading Search & Discovery API company, powering over 1.5 trillion queries per year for 10,000+ customers worldwide. Performance, scalability, and developer experience are at the heart of our mission. We maintain high-quality SDKs across a dozen languages and live by our core values: Grit, Trust, Candor, Care, and Humility.
The Team
You’ll join our 8-person, cross-functional GenAI Platform squad. We build and operate a Python API that lets developers define, deploy, and manage autonomous multi-agent workflows—leveraging LLMs, vector-search/RAG, external APIs, memory, and custom logic. Our platform handles agent life-cycle, context routing, error recovery, telemetry, and cost controls, making it simple to assemble complex GenAI-driven features.
The Opportunity
As our next Software Engineer, you will be pivotal in evolving our platform from its Beta launch into an enterprise-ready agent ecosystem. You’ll own fast-follow capabilities, broaden our LLM provider integrations, enhance observability, and harden multi-agent coordination. Your work will accelerate partner adoption and lay the groundwork for compliance and at-scale performance.
Your Role Includes
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Backend API Development & Migration
Design, implement, and maintain Python APIs to achieve sub-100 ms SLAs on cached calls, containerize for GCP, and ensure zero-downtime rollouts.
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Agentic “Tool” Integration
Extend our orchestration engine to treat RAG (vector-search + prompt templates) as a first-class tool; build and maintain SDK adapters for leading LLM providers and vector stores.
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Production Hardening & Best Practices
Enforce rigorous type-hinting, linting, CI/CD, smoke tests, and full coverage; automate canary deployments and performance tuning in a microservices environment.
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Observability, Security & Cost Controls
Instrument detailed telemetry (cache hits/misses, API-call metrics, LLM costs); build dashboards for internal teams; implement RBAC, audit logging, rate-limiting, and per-tenant isolation.
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Customer Enablement
Partner with technical customer teams and Solutions Engineers to create documentation, demos, and sample apps that accelerate onboarding and drive adoption.
Day-to-Day
- Participate in agile rituals (planning, stand-ups, reviews, retrospectives)
- Pair- or mob-program on major features (e.g., multi-agent recovery logic, new LLM adapters)
- Write and review high-quality Python code and RFC-backed pull requests
- Keep runbooks and API specs “always green” in Confluence
- Troubleshoot production issues via logs and roll out hot-fixes as needed
Key Projects & Initiatives
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Beta Fast-Follow: semantic & response caching, multi-vendor routing logic, enterprise SLA codification
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Orchestration Enhancements: dynamic tool-chaining, context routing improvements, dead-letter handling
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Telemetry Dashboards: cost-savings insights, request-prioritization controls
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Python SDK & Sample Apps: robust client library and reference multi-agent workflows
You Might Be a Fit If You Have
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Python & API Design: 3+ years building versioned REST APIs in FastAPI or Django REST Framework, with strong type safety and unit tests
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Generative-AI Expertise: hands-on experience integrating LLM providers and designing multi-agent orchestration logic in Python
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Microservices Production Skills: familiarity with Docker/GCP, performance tuning, canary rollouts, and low-latency caching
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Observability & Security Acumen: experience instrumenting telemetry, implementing RBAC/audit logging, rate-limiting, and multi-tenant isolation
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Collaborative Mindset: proven ability to thrive in pair/mob programming, contribute to RFCs, and uphold collective code ownership
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Bonus Skills: Terraform/IaC, advanced GCP services (Cloud Run, Pub/Sub), React/TypeScript, experience with Algolia’s search ecosystem
Our Values in Action
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GRIT: Navigate ambiguity and technical challenges with perseverance
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TRUST: Collaborate openly, take ownership, and build confidence across teams
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CANDOR: Give and receive constructive feedback to drive improvement
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CARE: Show genuine empathy for teammates and customers
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HUMILITY: Remain curious, acknowledge mistakes, and learn from others
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