Software Engineer, Algolia
GenAI
AI search solutions
Job no longer available
AI search solutions
501-1000 employees
Job no longer available
501-1000 employees
Company mission
To help businesses and developers understand their online users and show them exactly what they need.
Role
Who you are
- Python & API Design: 3+ years building versioned REST APIs in FastAPI or Django REST Framework, with strong type safety and unit tests
- Generative-AI Expertise: hands-on experience integrating LLM providers and designing multi-agent orchestration logic in Python
- Microservices Production Skills: familiarity with Docker/GCP, performance tuning, canary rollouts, and low-latency caching
- Observability & Security Acumen: experience instrumenting telemetry, implementing RBAC/audit logging, rate-limiting, and multi-tenant isolation
- Collaborative Mindset: proven ability to thrive in pair/mob programming, contribute to RFCs, and uphold collective code ownership
- Bonus Skills: Terraform/IaC, advanced GCP services (Cloud Run, Pub/Sub), React/TypeScript, experience with Algolia’s search ecosystem
What the job involves
- 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
- 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
- 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
- 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
- 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
- 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
- Customer Enablement
- Partner with technical customer teams and Solutions Engineers to create documentation, demos, and sample apps that accelerate onboarding and drive adoption
- 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
- Beta Fast-Follow: semantic & response caching, multi-vendor routing logic, enterprise SLA codification
- Orchestration Enhancements: dynamic tool-chaining, context routing improvements, dead-letter handling
- Telemetry Dashboards: cost-savings insights, request-prioritization controls
- Python SDK & Sample Apps: robust client library and reference multi-agent workflows
Our take
While in-site searching has been available for some time from web search servers such as Google and Bing, its functionality is limited due to it relying on general web scraping techniques which can miss relevant information. By contrast Algolia indexes only the company's site, allowing its search to serve accurate results extremely swiftly, which helps to drive sales conversions aside from making sites far more usable. The efficacy of this solution can be seen from its customer base of over 10,000 companies including the likes of Slack, Zendesk and Lacoste.
To diversify and increase the product range, Algolia have expanded into other real-time APIs such as product recommendations available for eCommerce websites. With the company performing extremely well over the last few years, Algolia have recruited key senior executives to further its growth. As the company continues to scale it seems likely that an IPO is not too distant a prospect.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 7 rounds)
Jul 2021
$150m
SERIES D
Oct 2019
$110m
SERIES C
Total funding: $334m
Company HQ
Barron Park, Palo Alto, CA
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