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.
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 + Docker 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.
CI / CD, infrastructure as code (Terraform), and cost / perf observability.
Security & compliance basics for data handling and PII.
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Founding Ai Engineer • San Francisco, CA, United States
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