Software Engineer (AI) jobs in United States
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Sixtyfour · 3 weeks ago

Software Engineer (AI)

Sixtyfour is a data orchestration engine for company and people data, and they are seeking a Software Engineer (AI) to design and implement agentic systems for data extraction and normalization. The role involves developing backend services, scaling workloads, and integrating third-party APIs to enhance data processing capabilities.

Artificial Intelligence (AI)Market ResearchSales
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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

PythonAWSDockerWeb ScrapingPandasAgentic ArchitecturesExternal APIsDebuggingProduct SenseOwnership

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

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Sixtyfour is a AI based reasech service company that automates to enrich specialized professionals, company data, and insights.

Funding

Current Stage
Early Stage
Total Funding
$0.5M
Key Investors
Y Combinator
2025-04-02Pre Seed· $0.5M

Leadership Team

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Saarth Shah
Co-Founder & CEO
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Company data provided by crunchbase