Sixtyfour · 9 hours ago
AI Engineer
San Francisco, CA
Full-time
Onsite
Mid Level
$145K/yr - $200K/yrSixtyfour is a data orchestration engine specializing in enriching detailed datapoints about individuals and organizations. The AI Engineer will design and implement systems for data extraction and normalization while managing robust web scraping and backend services.
Artificial Intelligence (AI)Market ResearchSales
Responsibilities
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
Qualification
Required
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
Preferred
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
Company
Sixtyfour
Sixtyfour is a AI based reasech service company that automates to enrich specialized professionals, company data, and insights.
Founded in 2025
2-10 employees
Funding
Current Stage
Early StageTotal Funding
$0.5MKey Investors
Y Combinator
2025-04-02Pre Seed· $0.5M
Leadership Team
Saarth Shah
Co-Founder & CEO
Company data provided by crunchbase