
People Intelligence at Scale
Sixtyfour is a data orchestration engine for company and people intelligence. We build AI systems that gather, verify, enrich, and structure complex information about individuals and organizations across public and proprietary sources.
Our platform and API enable enterprises to design custom data pipelines that find, qualify, and act on mission-critical intelligence about people and companies.
To power how enterprises understand and act on people and companies with world-class intelligence.
We are hiring a Senior AI Software Engineer to design and ship production-grade AI agents that reason over complex human and organizational data.
This is not a generic LLM application role. You will build agentic systems that operate across the open web, APIs, and OSINT sources to solve high-stakes problems such as identity verification, entity resolution, and internet presence analysis for enterprise intelligence use cases.
You must have shipped real AI-first products in production. We are looking for engineers who understand how to turn large language models into reliable systems, not just prototypes.
• Build agentic systems with tool calling, structured outputs, and multi-step reasoning loops
• Turn large language models into reliable production systems, not prototypes
• Engineer web intelligence pipelines that survive anti-bot systems, CAPTCHAs, rotating proxies, and dynamic sites
• Design OSINT workflows that extract signal from noisy, fragmented data
• Ship high-throughput backend systems in Python + FastAPI
• Scale workloads on AWS with Docker, queues, batch workers, and autoscaling
• Parallelize API calls safely with rate limits, retries, idempotency, and circuit breakers
• Normalize, reconcile, and deduplicate messy people and company data
• Own problems end to end, from ingestion to customer-facing impact
You will operate across AI systems, scraping infrastructure, backend architecture, and data engineering.
• 1–2+ years at an AI-first startup or company
• You have shipped real AI products into production
• You understand agent architectures, tool calling, structured outputs, and evaluation
• You’ve built resilient scraping systems and handled adversarial web environments
• You’re comfortable with AWS + Docker in production
• You’ve built high-concurrency IO pipelines
• You take ownership and debug systematically
You don’t just prompt LLMs. You design systems around them.
• OSINT experience (intelligence, investigations, large-scale open web analysis)
• Entity resolution and probabilistic matching at scale
• Search systems, embeddings, retrieval pipelines
• Stealth browser automation and anti-bot frameworks
• Observability tooling for AI systems
This role is not suitable for new graduates.
We build AI research agents that can discover, link, and reason over everything about people and companies. The platform turns that intelligence into automated research workflows for sales, recruiting, and marketing.