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AI Engineer
AI EngineerSixtyfour • San Francisco, CA, United States
AI Engineer

AI Engineer

Sixtyfour • San Francisco, CA, United States
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  • serp_jobs.job_card.full_time
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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.
  • 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 + Docker (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.
  • 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.
  • 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.
  • #J-18808-Ljbffr

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