Job Details

AI Engineer

  2025-11-15     Sixtyfour     San Francisco,CA  
Description:

Sixtyfour is offering a competitive pay based on skills and experience.

Base pay range

$120,000.00/yr - $200,000.00/yr

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.

Seniority level

Entry level

Employment type

Full‑time

Job function

Engineering and Information Technology

Industries

Research Services

Location: San Francisco, CA

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