- Job title
- AI Engineer — Research Agents (Full-Stack)
- Job location
- San Francisco, CA, US
- Job description
- ## **What you’ll do**
* Design and ship agentic systems (tool calling, multi-agent workflows, structured outputs) that reliably fetch, extract, and normalize data across the web and APIs.
* Build and operate search/indexing pipelines on OpenSearch/Elasticsearch (schema design, analyzers, reindex/data migration strategies, relevance tuning).
* Own robust web scraping: directory crawling, CAPTCHA handling, headless browsers, rotating proxies, anti-bot evasion, and backoff/retry policies.
* Develop backend services in **Python + FastAPI** with clean contracts and strong observability.
* Scale workloads on **AWS + Temporal** (batch/queue workers, autoscaling, fault tolerance, cost control).
* Parallelize external API requests safely (rate limits, idempotency, circuit breakers, retries, dedupe).
* Integrate third-party APIs for enrichment and search; model and cache responses; manage schema evolution.
* Transform and analyze data using **Pandas** (or similar) for normalization, QA, and reporting.
* Pitch in across the stack: billing (Stripe), and occasional front-end changes to ship end-to-end features.
## **Minimum requirements**
* Hands-on experience with **agentic architectures** (tool calling, structured outputs/JSON, planning/execution loops) and prompt engineering.
* Deep knowledge of **OpenSearch/Elasticsearch**: index design, analyzers, ingestion pipelines, snapshots, rolling upgrades, and **zero-downtime reindexing/data migrations**.
* Proven **web scraping** expertise: solving CAPTCHAs, session/auth flows, proxy rotation, stealth techniques, and legal/ethical constraints.
* **AWS + Temporal** in production (at least two of: ECS/EKS, Lambda, SQS/SNS, Batch, Step Functions, CloudWatch).
* Building **high-throughput** data/IO pipelines with concurrency (asyncio/multiprocessing), resilient retries, and rate-limit aware scheduling.
* Integrating diverse **external APIs** (auth patterns, pagination, webhooks); designing stable interfaces and backfills.
* Strong data wrangling with **Pandas** or equivalent; comfort with large CSV/Parquet workflows and memory/perf tuning.
* Familiarity with **Stripe** (subscriptions, metered billing, webhooks) and basic front-end changes (React/TypeScript or similar).
* Excellent ownership, product sense, and pragmatic debugging.
## **Nice to have**
* Entity resolution/record linkage at scale (probabilistic matching, blocking, deduping).
* Experience with **Langfuse**, OpenTelemetry, or similar for tracing/evals; task queues (Celery/RQ), Redis, Postgres.
* Search relevance (BM25/vector/hybrid), embeddings, and retrieval pipelines.
* Playwright/Selenium, stealth browsers, anti-bot frameworks, CAPTCHA providers.
* CI/CD, infrastructure as code (Terraform), and cost/perf observability.
* Security & compliance basics for data handling and PII.
